{"id":3478,"date":"2026-11-05T06:06:34","date_gmt":"2026-11-05T06:06:34","guid":{"rendered":"https:\/\/www.ideyalabs.com\/blog\/?p=3478"},"modified":"2026-11-05T06:06:35","modified_gmt":"2026-11-05T06:06:35","slug":"ai-pdlc-2027-multi-agent-systems","status":"publish","type":"post","link":"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/","title":{"rendered":"Multi-Agent Systems: How AI Agents Collaborate to Complete Complex Tasks"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" data-src=\"https:\/\/www.ideyalabs.com\/blog\/wp-content\/uploads\/2026\/11\/multi-agent-systems-hero-ai-agents-collaborate.webp\" alt=\"AI PDLC 2027 multi-agent systems hero: ideyaLabs AI agents collaborate around a central orchestrator\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" style=\"--smush-placeholder-width: 1600px; --smush-placeholder-aspect-ratio: 1600\/900;\" \/><\/figure>\n\n\n\n<p><strong>TL;DR:<\/strong> AI PDLC 2027 will run on multi-agent systems. These systems split a complex job across specialised AI agents that share context, hand work to each other and check each other&#8217;s output. At ideyaLabs, a team of 7 PDLC agents (Head Engineer, PO, BI, DEV, PR, QA and DevOps) covers the full product lifecycle. Meanwhile, humans approve every key decision.<\/p>\n\n\n\n<p><em>Last updated: November 5, 2026<\/em><\/p>\n\n\n\n<p>Planning for AI PDLC 2027 starts with one question: how will AI agents work together? One AI assistant can write a function. However, it cannot run a product team alone. Real software work needs research, planning, coding, review, testing, release and reporting, all at once and all in sync. That is exactly why <strong>multi-agent systems<\/strong> are the fastest-growing idea in agentic AI. Instead of asking one model to do everything, you give each agent one clear job. Then you let them collaborate.<\/p>\n\n\n\n<p>In this guide, we explain how AI agents collaborate inside multi-agent systems, walk through one feature from idea to production, and introduce the 7-agent ideyaLabs PDLC team. As an <a href=\"https:\/\/www.ideyalabs.com\/ai-development-services\/\">AI Agent Development Company<\/a>, we build these teams for real engineering organisations, so this is a practical view rather than theory.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"key-takeaways\">Key takeaways<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Multi-agent systems assign one specialised role to each agent, much like a human product team.<\/li>\n\n\n\n<li>AI agent orchestration decides who works next, what context they get and when a human must approve.<\/li>\n\n\n\n<li>The 7 ideyaLabs PDLC agents cover the full lifecycle, from idea to analytics.<\/li>\n\n\n\n<li>Every agent has a clear role, so each handoff has a known sender and receiver.<\/li>\n\n\n\n<li>Guardrails such as role limits, audit logs and human sign-off keep multi-agent AI safe.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"table-of-contents\">Table of contents<\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li><a href=\"#what-is-a-multi-agent-system\">What is a multi-agent system?<\/a><\/li>\n\n\n\n<li><a href=\"#how-do-ai-agents-collaborate\">How do AI agents collaborate?<\/a><\/li>\n\n\n\n<li><a href=\"#feature-walkthrough\">How does one feature move from idea to production?<\/a><\/li>\n\n\n\n<li><a href=\"#ai-pdlc-2027\">What will AI PDLC 2027 look like?<\/a><\/li>\n\n\n\n<li><a href=\"#pdlc-agent-team\">Meet the 7-agent PDLC team: who does what<\/a><\/li>\n\n\n\n<li><a href=\"#single-vs-multi-agent\">Single-agent vs multi-agent: what is the difference?<\/a><\/li>\n\n\n\n<li><a href=\"#benefits\">What are the benefits of multi-agent systems?<\/a><\/li>\n\n\n\n<li><a href=\"#challenges-guardrails\">What challenges and guardrails matter for AI PDLC 2027?<\/a><\/li>\n\n\n\n<li><a href=\"#faq\">FAQ<\/a><\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-is-a-multi-agent-system\">What is a multi-agent system?<\/h2>\n\n\n\n<p><strong>A multi-agent system is a group of AI agents, each with its own role, tools and goal, that work together on a task too large or varied for one agent.<\/strong> An orchestrator coordinates them. In addition, they share context and pass results along, so the output of one agent becomes trusted input for the next.<\/p>\n\n\n\n<p>The idea is not new in computer science. For example, <a href=\"https:\/\/www.ibm.com\/think\/topics\/multiagent-system\" target=\"_blank\" rel=\"noopener\">IBM describes multi-agent systems<\/a> as several agents acting together in a shared environment. What changed is the agent itself. Large language models now let each agent read tickets, reason about code and call tools. As a result, multi-agent AI can now handle real product work.<\/p>\n\n\n\n<p>Every agent in a well-designed system has four parts:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>A role:<\/strong> for instance, &#8220;review pull requests&#8221; or &#8220;write test cases&#8221;.<\/li>\n\n\n\n<li><strong>Tools:<\/strong> such as Jira, GitHub, Confluence or a CI\/CD pipeline.<\/li>\n\n\n\n<li><strong>Context:<\/strong> the shared knowledge it reads, like requirements, code and past decisions.<\/li>\n\n\n\n<li><strong>Boundaries:<\/strong> what it may do alone and what needs a human to approve.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"how-do-ai-agents-collaborate\">How do AI agents collaborate?<\/h2>\n\n\n\n<p><strong>AI agents collaborate through orchestration, structured handoffs, shared context and feedback loops, with humans approving key steps.<\/strong> In short, the orchestrator plans, each agent does its part, and results flow back so the whole team keeps learning. Here is how each piece works.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. Orchestration: who works next?<\/h3>\n\n\n\n<p>AI agent orchestration is the control layer. It breaks a goal into tasks, routes each task to the right agent and tracks progress. At ideyaLabs, the <a href=\"https:\/\/www.ideyalabs.com\/agent\/head-engineer-agent\/\">Head Engineer Agent<\/a> plays this lead role, much like a tech lead. Our platform uses LangGraph-style orchestration, which the <a href=\"https:\/\/langchain-ai.github.io\/langgraph\/concepts\/multi_agent\/\" target=\"_blank\" rel=\"noopener\">LangGraph multi-agent docs<\/a> describe as a supervisor routing work between specialised agents.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2. Handoffs: passing finished work, not loose notes<\/h3>\n\n\n\n<p>Each handoff carries a clear artifact. For example, the PO Agent hands over stories with acceptance criteria. Then the QA Agent turns those same criteria into test cases. Because the format is structured, nothing gets lost between steps.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">3. Shared context: one source of truth<\/h3>\n\n\n\n<p>All agents read from the same knowledge layer. This includes Jira, Confluence, your repositories and a knowledge graph of your code. Consequently, requirements, code, tests and docs all describe the same product.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">4. Feedback loops: agents check each other<\/h3>\n\n\n\n<p>Collaboration runs both ways. If the PR Agent flags a risk, the DEV Agent fixes it. Likewise, if the BI Agent sees a drop in a KPI after release, that insight goes back to the PO Agent for the next sprint.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">5. Human in the loop: people own the decisions<\/h3>\n\n\n\n<p>Finally, people stay in charge. A product owner approves the backlog, an engineer merges the pull request and a release manager promotes the build. Agents do the heavy lifting. Meanwhile, humans keep accountability.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" data-src=\"https:\/\/www.ideyalabs.com\/blog\/wp-content\/uploads\/2026\/11\/multi-agent-systems-orchestration-handoffs.webp\" alt=\"How AI agents collaborate in multi-agent systems through orchestration, handoffs, shared context and feedback loops\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" style=\"--smush-placeholder-width: 1600px; --smush-placeholder-aspect-ratio: 1600\/900;\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"feature-walkthrough\">How does one feature move from idea to production?<\/h2>\n\n\n\n<p><strong>A feature moves through ideyaLabs multi-agent systems in seven linked steps, from a raw idea to a measured release.<\/strong> Imagine your team wants to add &#8220;saved payment methods&#8221; to a checkout. Here is how the agents collaborate on it.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Plan:<\/strong> The <a href=\"https:\/\/www.ideyalabs.com\/agent\/head-engineer-agent\/\">Head Engineer Agent<\/a> reads the request, maps the affected services and builds a task plan for the team.<\/li>\n\n\n\n<li><strong>Define:<\/strong> Next, the <a href=\"https:\/\/www.ideyalabs.com\/agent\/po-agent\/\">PO Agent<\/a> researches the need, writes the PRD and creates epics and stories with acceptance criteria in Jira.<\/li>\n\n\n\n<li><strong>Build:<\/strong> Then the <a href=\"https:\/\/www.ideyalabs.com\/agent\/developer-agent\/\">DEV Agent<\/a> writes the code against those stories, following your architecture and coding standards.<\/li>\n\n\n\n<li><strong>Review:<\/strong> After that, the <a href=\"https:\/\/www.ideyalabs.com\/agent\/pr-agent\/\">PR Agent<\/a> reviews the pull request like a senior engineer, flags security issues and suggests inline fixes.<\/li>\n\n\n\n<li><strong>Test:<\/strong> At the same time, the <a href=\"https:\/\/www.ideyalabs.com\/agent\/qa-agent\/\">QA Agent<\/a> turns the acceptance criteria into test cases, runs them and logs any defects back to Jira.<\/li>\n\n\n\n<li><strong>Release:<\/strong> Once checks pass, the <a href=\"https:\/\/www.ideyalabs.com\/agent\/devops-agent\/\">DevOps Agent<\/a> ships the build through CI\/CD with progressive rollout and a quick rollback path.<\/li>\n\n\n\n<li><strong>Measure:<\/strong> Finally, the <a href=\"https:\/\/www.ideyalabs.com\/agent\/bi-agent\/\">BI Agent<\/a> tracks adoption and KPIs on a dashboard and feeds insights into the next sprint.<\/li>\n<\/ol>\n\n\n\n<p>Notice what did not happen. Nobody re-typed requirements into a test plan. Similarly, nobody chased a reviewer for days. Every step reused the last step&#8217;s output, and a human approved each gate. For a deeper look at each stage, read our <a href=\"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-guide-ai-driven-product-development-lifecycle\/\">complete AI PDLC guide<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"ai-pdlc-2027\">What will AI PDLC 2027 look like?<\/h2>\n\n\n\n<p><strong>AI PDLC 2027 will be shaped by multi-agent teams that hand off work on their own, under tighter orchestration and clearer governance, with humans approving the decisions that matter.<\/strong> In other words, the product lifecycle becomes a coordinated system rather than a chain of separate tools. If you are new to the topic, start with our guide to <a href=\"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-guide-ai-driven-product-development-lifecycle\/\">AI PDLC<\/a>.<\/p>\n\n\n\n<p>Four shifts stand out as teams plan for AI PDLC 2027:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>More autonomous handoffs:<\/strong> agents will pass stories, code, tests and releases to each other with less manual triage, so people review results instead of moving tickets.<\/li>\n\n\n\n<li><strong>Smarter orchestration:<\/strong> a lead agent, such as our <a href=\"https:\/\/www.ideyalabs.com\/agent\/head-engineer-agent\/\">Head Engineer Agent<\/a>, will plan work, balance load across agents and reroute tasks when checks fail.<\/li>\n\n\n\n<li><strong>Stronger governance:<\/strong> as agents act more on their own, audit trails, role-based access and policy checks will become standard rather than optional.<\/li>\n\n\n\n<li><strong>Human-in-the-loop by design:<\/strong> approval gates for merges, releases and backlog changes will stay, because accountability still belongs to people.<\/li>\n<\/ul>\n\n\n\n<p>As a result, AI PDLC 2027 is less about adding more AI tools and more about making agents collaborate well. Therefore, teams that set clear roles and guardrails now will be ready first.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" data-src=\"https:\/\/www.ideyalabs.com\/blog\/wp-content\/uploads\/2026\/11\/multi-agent-systems-7-pdlc-agents-team.webp\" alt=\"Multi-agent systems team: 7 ideyaLabs PDLC AI agents collaborating across the product lifecycle\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" style=\"--smush-placeholder-width: 1600px; --smush-placeholder-aspect-ratio: 1600\/900;\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"pdlc-agent-team\">Meet the 7-agent PDLC team: who does what<\/h2>\n\n\n\n<p><strong>The ideyaLabs PDLC team is a multi-agent system of 7 specialised AI agents, one for each stage of the product lifecycle.<\/strong> Each agent owns one role, so every handoff has a clear sender and receiver. As a result, work flows from idea to analytics without gaps. You can also meet each one in <a href=\"https:\/\/www.ideyalabs.com\/blog\/pdlc-ai-agents-ai-agent-development-company\/\">our guide to the 7 PDLC AI agents<\/a>.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><a href=\"https:\/\/www.ideyalabs.com\/agent\/head-engineer-agent\/\">Head Engineer Agent<\/a>:<\/strong> the orchestrator. It plans the work, maps affected services and then hands tasks to the PO Agent and DEV Agent.<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.ideyalabs.com\/agent\/po-agent\/\">PO Agent<\/a>:<\/strong> the product owner. It turns ideas into PRDs, epics and stories with acceptance criteria, and next hands them to the DEV Agent and QA Agent.<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.ideyalabs.com\/agent\/developer-agent\/\">DEV Agent<\/a>:<\/strong> the builder. It writes code against each story and then opens a pull request for the PR Agent.<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.ideyalabs.com\/agent\/pr-agent\/\">PR Agent<\/a>:<\/strong> the senior reviewer. It checks each pull request for bugs and security risks, so clean code moves on to the QA Agent.<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.ideyalabs.com\/agent\/qa-agent\/\">QA Agent<\/a>:<\/strong> the tester. It converts acceptance criteria into test cases, runs them and, once they pass, clears the build for the DevOps Agent.<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.ideyalabs.com\/agent\/devops-agent\/\">DevOps Agent<\/a>:<\/strong> the release manager. It ships through CI\/CD with progressive rollout, and after release it passes live data to the BI Agent.<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.ideyalabs.com\/agent\/bi-agent\/\">BI Agent<\/a>:<\/strong> the analyst. It tracks KPIs on dashboards and finally feeds insights back to the PO Agent and Head Engineer Agent.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>Agent<\/th><th>Role in the team<\/th><th>Hands off to<\/th><th>Output<\/th><\/tr><\/thead><tbody><tr><td>Head Engineer Agent<\/td><td>Orchestrator and tech lead<\/td><td>PO Agent, DEV Agent<\/td><td>Task plan and architecture direction<\/td><\/tr><tr><td>PO Agent<\/td><td>Product owner<\/td><td>DEV Agent, QA Agent<\/td><td>PRD, epics, stories with acceptance criteria<\/td><\/tr><tr><td>DEV Agent<\/td><td>Developer<\/td><td>PR Agent<\/td><td>Working code and pull request<\/td><\/tr><tr><td>PR Agent<\/td><td>Code reviewer<\/td><td>QA Agent (back to DEV Agent if fixes needed)<\/td><td>Review summary and inline fixes<\/td><\/tr><tr><td>QA Agent<\/td><td>Quality engineer<\/td><td>DevOps Agent (defects back to DEV Agent)<\/td><td>Test cases, results and Jira defects<\/td><\/tr><tr><td>DevOps Agent<\/td><td>Release manager<\/td><td>BI Agent<\/td><td>Deployed release and DORA metrics<\/td><\/tr><tr><td>BI Agent<\/td><td>Analyst<\/td><td>PO Agent, Head Engineer Agent<\/td><td>Dashboards, KPIs and insights<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>In short, the team forms a loop rather than a line. Because the BI Agent feeds results back to planning, each sprint starts smarter than the last.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"single-vs-multi-agent\">Single-agent vs multi-agent: what is the difference?<\/h2>\n\n\n\n<p><strong>A single agent handles one task end to end, while multi-agent systems split work across specialists that coordinate.<\/strong> Single agents are simpler. However, they struggle when a job needs many skills, long context or independent checks.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>Aspect<\/th><th>Single agent<\/th><th>Multi-agent system<\/th><\/tr><\/thead><tbody><tr><td>Scope<\/td><td>One task or narrow workflow<\/td><td>Complex, multi-step work across roles<\/td><\/tr><tr><td>Quality checks<\/td><td>Self-review only<\/td><td>Agents verify each other&#8217;s output<\/td><\/tr><tr><td>Context<\/td><td>One long, overloaded prompt<\/td><td>Focused context per role, shared knowledge base<\/td><\/tr><tr><td>Scaling<\/td><td>Gets slower and less reliable as tasks grow<\/td><td>Add or swap agents as needs grow<\/td><\/tr><tr><td>Best for<\/td><td>Quick, contained jobs<\/td><td>Product development and enterprise workflows<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>That said, more agents are not always better. <a href=\"https:\/\/www.anthropic.com\/engineering\/building-effective-agents\" target=\"_blank\" rel=\"noopener\">Anthropic&#8217;s guide to building effective agents<\/a> advises starting with the simplest setup that works. So we add agents only where a clear role and handoff exist.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"benefits\">What are the benefits of multi-agent systems?<\/h2>\n\n\n\n<p><strong>The main benefits are speed, quality, consistency and visibility across the whole lifecycle.<\/strong> Specifically, teams typically see:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Faster delivery:<\/strong> work runs in parallel, and handoffs take minutes rather than days.<\/li>\n\n\n\n<li><strong>Higher quality:<\/strong> every change gets reviewed and tested. For instance, our PR Agent targets reviews in under 3 minutes.<\/li>\n\n\n\n<li><strong>Less repetitive work:<\/strong> agents draft stories, tests, docs and reports, so engineers focus on design and judgment.<\/li>\n\n\n\n<li><strong>Consistency:<\/strong> shared context keeps requirements, code, tests and docs aligned.<\/li>\n\n\n\n<li><strong>Clear visibility:<\/strong> dashboards and DORA metrics show where work is stuck.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" data-src=\"https:\/\/www.ideyalabs.com\/blog\/wp-content\/uploads\/2026\/11\/multi-agent-systems-guardrails-human-in-the-loop.webp\" alt=\"Guardrails for multi-agent systems with human-in-the-loop approval, audit logs and role-based access\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" style=\"--smush-placeholder-width: 1600px; --smush-placeholder-aspect-ratio: 1600\/900;\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"challenges-guardrails\">What challenges and guardrails matter for AI PDLC 2027?<\/h2>\n\n\n\n<p><strong>The biggest challenges are coordination errors, data security, cost and trust. Strong guardrails solve most of them.<\/strong> Above all, treat agents like new team members: give them clear roles and limited access.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Common challenges<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Error cascades:<\/strong> one wrong output can mislead the next agent.<\/li>\n\n\n\n<li><strong>Context drift:<\/strong> agents may act on stale requirements.<\/li>\n\n\n\n<li><strong>Security and privacy:<\/strong> agents touch code and business data.<\/li>\n\n\n\n<li><strong>Cost control:<\/strong> many model calls can add up quickly.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Guardrails we build in<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Human approval gates<\/strong> before merges, releases and backlog changes.<\/li>\n\n\n\n<li><strong>Role-based access<\/strong> so each agent sees only what it needs.<\/li>\n\n\n\n<li><strong>Audit logs<\/strong> for every agent action and decision.<\/li>\n\n\n\n<li><strong>Validation steps<\/strong> where one agent checks another, such as QA verifying DEV output.<\/li>\n\n\n\n<li><strong>Risk frameworks<\/strong> like the <a href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\" target=\"_blank\" rel=\"noopener\">NIST AI Risk Management Framework<\/a> to guide governance.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"faq\">FAQ: Multi-agent systems and AI agent collaboration<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">What are multi-agent systems in AI?<\/h3>\n\n\n\n<p>Multi-agent systems in AI are groups of specialised AI agents that each own a role, share context and coordinate through an orchestrator to complete complex tasks that one agent cannot handle well alone.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">How do AI agents collaborate with each other?<\/h3>\n\n\n\n<p>AI agents collaborate through orchestration, structured handoffs, a shared knowledge base and feedback loops. An orchestrator assigns tasks, each agent passes a finished artifact to the next, and humans approve key decisions.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">What is AI agent orchestration?<\/h3>\n\n\n\n<p>AI agent orchestration is the control layer that breaks a goal into tasks, routes each task to the right agent, manages shared context and decides when a human must review. At ideyaLabs, the Head Engineer Agent leads this role.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Which ideyaLabs agents are in the 7-agent PDLC team?<\/h3>\n\n\n\n<p>The 7-agent PDLC team includes the Head Engineer, PO, BI, DEV, PR, QA and DevOps agents. Together they cover planning, requirements, coding, code review, testing, release and analytics.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">How do the 7 PDLC agents hand off work?<\/h3>\n\n\n\n<p>The Head Engineer Agent plans, the PO Agent writes stories, the DEV Agent codes, the PR Agent reviews, the QA Agent tests, the DevOps Agent releases and the BI Agent measures. Then insights go back to planning.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Are multi-agent systems better than a single AI agent?<\/h3>\n\n\n\n<p>For complex, multi-step work, yes. Multi-agent systems add specialisation and cross-checks. For small, contained tasks, a single agent is often simpler and cheaper.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Is multi-agent AI safe for AI PDLC 2027 teams?<\/h3>\n\n\n\n<p>Yes, it can be, with the right guardrails: human approval gates, role-based access, audit logs and validation between agents. ideyaLabs builds these controls into every deployment.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"get-started\">Ready to build your multi-agent team?<\/h2>\n\n\n\n<p>Whether you start with one agent or the full 7-agent PDLC team, ideyaLabs helps you pick the first bottleneck, connect your tools and roll out with guardrails. <a href=\"https:\/\/www.ideyalabs.com\/contact-us\/\"><strong>Talk to our team<\/strong><\/a> to plan your multi-agent system today.<\/p>\n\n\n\n<script type=\"application\/ld+json\">{\"@context\": \"https:\/\/schema.org\", \"@type\": \"FAQPage\", \"mainEntity\": [{\"@type\": \"Question\", \"name\": \"What are multi-agent systems in AI?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Multi-agent systems in AI are groups of specialised AI agents that each own a role, share context and coordinate through an orchestrator to complete complex tasks that one agent cannot handle well alone.\"}}, {\"@type\": \"Question\", \"name\": \"How do AI agents collaborate with each other?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"AI agents collaborate through orchestration, structured handoffs, a shared knowledge base and feedback loops. An orchestrator assigns tasks, each agent passes a finished artifact to the next, and humans approve key decisions.\"}}, {\"@type\": \"Question\", \"name\": \"What is AI agent orchestration?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"AI agent orchestration is the control layer that breaks a goal into tasks, routes each task to the right agent, manages shared context and decides when a human must review. At ideyaLabs, the Head Engineer Agent leads this role.\"}}, {\"@type\": \"Question\", \"name\": \"Which ideyaLabs agents are in the 7-agent PDLC team?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"The 7-agent PDLC team includes the Head Engineer, PO, BI, DEV, PR, QA and DevOps agents. Together they cover planning, requirements, coding, code review, testing, release and analytics.\"}}, {\"@type\": \"Question\", \"name\": \"How do the 7 PDLC agents hand off work?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"The Head Engineer Agent plans, the PO Agent writes stories, the DEV Agent codes, the PR Agent reviews, the QA Agent tests, the DevOps Agent releases and the BI Agent measures. Then insights go back to planning.\"}}, {\"@type\": \"Question\", \"name\": \"Are multi-agent systems better than a single AI agent?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"For complex, multi-step work, yes. Multi-agent systems add specialisation and cross-checks. For small, contained tasks, a single agent is often simpler and cheaper.\"}}, {\"@type\": \"Question\", \"name\": \"Is multi-agent AI safe for AI PDLC 2027 teams?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Yes, it can be, with the right guardrails: human approval gates, role-based access, audit logs and validation between agents. ideyaLabs builds these controls into every deployment.\"}}]}<\/script>\n","protected":false},"excerpt":{"rendered":"<p>AI PDLC 2027 runs on multi-agent systems. See how 7 ideyaLabs PDLC agents collaborate and hand off work from idea to production.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[330],"tags":[395,529,126,525,527,521,530,528,522],"class_list":["post-3478","post","type-post","status-publish","format-standard","hentry","category-ai-agents","tag-agentic-ai","tag-ai-agent-orchestration","tag-ai-agents","tag-ai-pdlc-2","tag-ai-pdlc-2027","tag-ideyalabs","tag-multi-agent-ai","tag-multi-agent-systems","tag-pdlc"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI PDLC 2027: Multi-Agent Systems Explained | ideyaLabs<\/title>\n<meta name=\"description\" content=\"AI PDLC 2027: how multi-agent systems let 7 ideyaLabs AI agents collaborate across the product lifecycle, with handoffs and guardrails.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI PDLC 2027: Multi-Agent Systems Explained | ideyaLabs\" \/>\n<meta property=\"og:description\" content=\"AI PDLC 2027: how multi-agent systems let 7 ideyaLabs AI agents collaborate across the product lifecycle, with handoffs and guardrails.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/ideyaLabsTECH\" \/>\n<meta property=\"article:published_time\" content=\"2026-11-05T06:06:34+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-11-05T06:06:35+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.ideyalabs.com\/blog\/wp-content\/uploads\/2026\/11\/multi-agent-systems-hero-ai-agents-collaborate.webp\" \/>\n<meta name=\"author\" content=\"ideyaLabs\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"ideyaLabs\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"11 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/\"},\"author\":{\"name\":\"ideyaLabs\",\"@id\":\"https:\/\/www.ideyalabs.com\/blog\/#\/schema\/person\/5e60598d9b447fee8626b97356bb0aaa\"},\"headline\":\"Multi-Agent Systems: How AI Agents Collaborate to Complete Complex Tasks\",\"datePublished\":\"2026-11-05T06:06:34+00:00\",\"dateModified\":\"2026-11-05T06:06:35+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/\"},\"wordCount\":2275,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.ideyalabs.com\/blog\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.ideyalabs.com\/blog\/wp-content\/uploads\/2026\/11\/multi-agent-systems-hero-ai-agents-collaborate.webp\",\"keywords\":[\"Agentic AI\",\"AI agent orchestration\",\"AI agents\",\"AI PDLC\",\"AI PDLC 2027\",\"ideyaLabs\",\"multi-agent AI\",\"multi-agent systems\",\"PDLC\"],\"articleSection\":[\"AI Agents\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/\",\"url\":\"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/\",\"name\":\"AI PDLC 2027: Multi-Agent Systems Explained | ideyaLabs\",\"isPartOf\":{\"@id\":\"https:\/\/www.ideyalabs.com\/blog\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.ideyalabs.com\/blog\/wp-content\/uploads\/2026\/11\/multi-agent-systems-hero-ai-agents-collaborate.webp\",\"datePublished\":\"2026-11-05T06:06:34+00:00\",\"dateModified\":\"2026-11-05T06:06:35+00:00\",\"description\":\"AI PDLC 2027: how multi-agent systems let 7 ideyaLabs AI agents collaborate across the product lifecycle, with handoffs and guardrails.\",\"breadcrumb\":{\"@id\":\"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/#primaryimage\",\"url\":\"https:\/\/www.ideyalabs.com\/blog\/wp-content\/uploads\/2026\/11\/multi-agent-systems-hero-ai-agents-collaborate.webp\",\"contentUrl\":\"https:\/\/www.ideyalabs.com\/blog\/wp-content\/uploads\/2026\/11\/multi-agent-systems-hero-ai-agents-collaborate.webp\",\"width\":1600,\"height\":900,\"caption\":\"AI PDLC 2027 multi-agent systems hero: ideyaLabs AI agents collaborate around a central orchestrator\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.ideyalabs.com\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Multi-Agent Systems: How AI Agents Collaborate to Complete Complex Tasks\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.ideyalabs.com\/blog\/#website\",\"url\":\"https:\/\/www.ideyalabs.com\/blog\/\",\"name\":\"ideyaLabs Blog\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/www.ideyalabs.com\/blog\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.ideyalabs.com\/blog\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.ideyalabs.com\/blog\/#organization\",\"name\":\"ideyaLabs Blog\",\"url\":\"https:\/\/www.ideyalabs.com\/blog\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.ideyalabs.com\/blog\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/ideyalabs.com\/blog\/wp-content\/uploads\/2024\/09\/ideyaLabs-black-R.png\",\"contentUrl\":\"https:\/\/ideyalabs.com\/blog\/wp-content\/uploads\/2024\/09\/ideyaLabs-black-R.png\",\"width\":1316,\"height\":292,\"caption\":\"ideyaLabs Blog\"},\"image\":{\"@id\":\"https:\/\/www.ideyalabs.com\/blog\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/ideyaLabsTECH\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.ideyalabs.com\/blog\/#\/schema\/person\/5e60598d9b447fee8626b97356bb0aaa\",\"name\":\"ideyaLabs\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.ideyalabs.com\/blog\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/ca9b12420022313eeb56dd8e930464c79420bf7b30b04283d9f9803501b77aff?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/ca9b12420022313eeb56dd8e930464c79420bf7b30b04283d9f9803501b77aff?s=96&d=mm&r=g\",\"caption\":\"ideyaLabs\"},\"sameAs\":[\"https:\/\/ideyalabs.com\/blog\"],\"url\":\"https:\/\/www.ideyalabs.com\/blog\/author\/admin\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"AI PDLC 2027: Multi-Agent Systems Explained | ideyaLabs","description":"AI PDLC 2027: how multi-agent systems let 7 ideyaLabs AI agents collaborate across the product lifecycle, with handoffs and guardrails.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/","og_locale":"en_US","og_type":"article","og_title":"AI PDLC 2027: Multi-Agent Systems Explained | ideyaLabs","og_description":"AI PDLC 2027: how multi-agent systems let 7 ideyaLabs AI agents collaborate across the product lifecycle, with handoffs and guardrails.","og_url":"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/","og_site_name":"Blog","article_publisher":"https:\/\/www.facebook.com\/ideyaLabsTECH","article_published_time":"2026-11-05T06:06:34+00:00","article_modified_time":"2026-11-05T06:06:35+00:00","og_image":[{"url":"https:\/\/www.ideyalabs.com\/blog\/wp-content\/uploads\/2026\/11\/multi-agent-systems-hero-ai-agents-collaborate.webp","type":"","width":"","height":""}],"author":"ideyaLabs","twitter_card":"summary_large_image","twitter_misc":{"Written by":"ideyaLabs","Est. reading time":"11 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/#article","isPartOf":{"@id":"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/"},"author":{"name":"ideyaLabs","@id":"https:\/\/www.ideyalabs.com\/blog\/#\/schema\/person\/5e60598d9b447fee8626b97356bb0aaa"},"headline":"Multi-Agent Systems: How AI Agents Collaborate to Complete Complex Tasks","datePublished":"2026-11-05T06:06:34+00:00","dateModified":"2026-11-05T06:06:35+00:00","mainEntityOfPage":{"@id":"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/"},"wordCount":2275,"commentCount":0,"publisher":{"@id":"https:\/\/www.ideyalabs.com\/blog\/#organization"},"image":{"@id":"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/#primaryimage"},"thumbnailUrl":"https:\/\/www.ideyalabs.com\/blog\/wp-content\/uploads\/2026\/11\/multi-agent-systems-hero-ai-agents-collaborate.webp","keywords":["Agentic AI","AI agent orchestration","AI agents","AI PDLC","AI PDLC 2027","ideyaLabs","multi-agent AI","multi-agent systems","PDLC"],"articleSection":["AI Agents"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/","url":"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/","name":"AI PDLC 2027: Multi-Agent Systems Explained | ideyaLabs","isPartOf":{"@id":"https:\/\/www.ideyalabs.com\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/#primaryimage"},"image":{"@id":"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/#primaryimage"},"thumbnailUrl":"https:\/\/www.ideyalabs.com\/blog\/wp-content\/uploads\/2026\/11\/multi-agent-systems-hero-ai-agents-collaborate.webp","datePublished":"2026-11-05T06:06:34+00:00","dateModified":"2026-11-05T06:06:35+00:00","description":"AI PDLC 2027: how multi-agent systems let 7 ideyaLabs AI agents collaborate across the product lifecycle, with handoffs and guardrails.","breadcrumb":{"@id":"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/#primaryimage","url":"https:\/\/www.ideyalabs.com\/blog\/wp-content\/uploads\/2026\/11\/multi-agent-systems-hero-ai-agents-collaborate.webp","contentUrl":"https:\/\/www.ideyalabs.com\/blog\/wp-content\/uploads\/2026\/11\/multi-agent-systems-hero-ai-agents-collaborate.webp","width":1600,"height":900,"caption":"AI PDLC 2027 multi-agent systems hero: ideyaLabs AI agents collaborate around a central orchestrator"},{"@type":"BreadcrumbList","@id":"https:\/\/www.ideyalabs.com\/blog\/ai-pdlc-2027-multi-agent-systems\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.ideyalabs.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Multi-Agent Systems: How AI Agents Collaborate to Complete Complex Tasks"}]},{"@type":"WebSite","@id":"https:\/\/www.ideyalabs.com\/blog\/#website","url":"https:\/\/www.ideyalabs.com\/blog\/","name":"ideyaLabs Blog","description":"","publisher":{"@id":"https:\/\/www.ideyalabs.com\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.ideyalabs.com\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.ideyalabs.com\/blog\/#organization","name":"ideyaLabs Blog","url":"https:\/\/www.ideyalabs.com\/blog\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.ideyalabs.com\/blog\/#\/schema\/logo\/image\/","url":"https:\/\/ideyalabs.com\/blog\/wp-content\/uploads\/2024\/09\/ideyaLabs-black-R.png","contentUrl":"https:\/\/ideyalabs.com\/blog\/wp-content\/uploads\/2024\/09\/ideyaLabs-black-R.png","width":1316,"height":292,"caption":"ideyaLabs Blog"},"image":{"@id":"https:\/\/www.ideyalabs.com\/blog\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/ideyaLabsTECH"]},{"@type":"Person","@id":"https:\/\/www.ideyalabs.com\/blog\/#\/schema\/person\/5e60598d9b447fee8626b97356bb0aaa","name":"ideyaLabs","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.ideyalabs.com\/blog\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/ca9b12420022313eeb56dd8e930464c79420bf7b30b04283d9f9803501b77aff?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/ca9b12420022313eeb56dd8e930464c79420bf7b30b04283d9f9803501b77aff?s=96&d=mm&r=g","caption":"ideyaLabs"},"sameAs":["https:\/\/ideyalabs.com\/blog"],"url":"https:\/\/www.ideyalabs.com\/blog\/author\/admin\/"}]}},"_links":{"self":[{"href":"https:\/\/www.ideyalabs.com\/blog\/wp-json\/wp\/v2\/posts\/3478","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ideyalabs.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ideyalabs.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ideyalabs.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ideyalabs.com\/blog\/wp-json\/wp\/v2\/comments?post=3478"}],"version-history":[{"count":1,"href":"https:\/\/www.ideyalabs.com\/blog\/wp-json\/wp\/v2\/posts\/3478\/revisions"}],"predecessor-version":[{"id":3479,"href":"https:\/\/www.ideyalabs.com\/blog\/wp-json\/wp\/v2\/posts\/3478\/revisions\/3479"}],"wp:attachment":[{"href":"https:\/\/www.ideyalabs.com\/blog\/wp-json\/wp\/v2\/media?parent=3478"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ideyalabs.com\/blog\/wp-json\/wp\/v2\/categories?post=3478"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ideyalabs.com\/blog\/wp-json\/wp\/v2\/tags?post=3478"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}