Non-profit community publishing original, research-backed articles on building production AI agents. We cover the tools, frameworks, protocols, and security practices that define the agent engineering field in 2026.
39 published articles across 8 core topics — written by practitioners, not marketers.
What We Cover
AI Agents & Autonomous Systems — architecture, deployment, and real-world case studies
Model Context Protocol (MCP) — the open standard connecting AI to tools and data
Agent Frameworks — LangChain, CrewAI, AutoGen, Google ADK, AWS Strands, and emerging tools
Prompt & Context Engineering — the skill shift from prompt crafting to context architecture
Multi-Agent Collaboration — orchestration, benchmarks, team coordination
AI Infrastructure & Tooling — Docker, CI/CD, observability for agent systems
Research & Benchmarks — academic papers, industry reports, competitive analysis
Latest Articles
Autopilots: Microsoft Gave Every AI Agent Its Own Identity — The product story is an assistant that books your meetings. The architectural story is one sentence, and it is the more important of the two: "Every agent operates under its own governed Entra identity, not a shared, anonymous service account, so the work it does is attributab... [infrastructure] 2026-07-30
GitHub Shipped Four Agent Features in July - And All of Them Were Brakes — Four agent-related features landed in GitHub's changelog in July. Three of them make agents easier to watch, question, or stop. Only one gives an agent more authority — and it hands that authority over your security alerts. Read individually, they are routine release notes. Re... [news] 2026-07-30
Your AI Agent Is a YAML File Now - And It Can Rewrite Itself — Buried in Pydantic's v2 announcement is a claim that reframes the entire declarative-agent conversation. Describing agent specs, the team notes that because capabilities are serializable, an agent can be loaded from a spec file — and that "the surface is small enough that an L... [tool] 2026-07-30
Prompt, Loop, Graph: The Three Layers of AI Agent Control — A prompt that fails gives you a bad answer. A loop that fails does something worse: it keeps going. It cannot distinguish finished from stuck, so it does not stop, and it does not error — it just spends tokens until someone notices the bill. That asymmetry is the reason "promp... [guide] 2026-07-30
DeepAgents 0.7 Cut Its Own Prompt by 65 Percent - Why Less Scaffolding Made Agents Better — In deepagents 0.7.0, released July 24, the authored base prompt starts empty. That is a framework whose entire value proposition was scaffolding — prompts, middleware, structured guidance wrapped around a model — publicly concluding that most of its own scaffolding was overhea... [tool] 2026-07-30
Behavioral State Decay: Why Long-Horizon AI Agents Forget What Matters — A memory system that keeps quiet most of the time beat one that always spoke up. It also beat merely making the memory available, beat an advisor that offered guidance, and beat generic retrieval. That result, from a paper submitted on July 9, is the most useful thing publishe... [research] 2026-07-30
The Weekend an AI Broke Into Hugging Face - And an AI Caught It — Over a single weekend, something autonomous walked into Hugging Face's production infrastructure, ran thousands of actions across internal clusters, and harvested service credentials. It was found by an LLM reading security telemetry. By the time the forensics were complete, t... [security] 2026-07-30
MCP Just Went Stateless: What the 2026-07-28 Spec Breaks and How to Migrate — You cannot put a load balancer in front of a conversation. That single operational fact, discovered independently by every team that tried to run a Model Context Protocol server for more than one user, is what produced the spec published on July 28 — the largest revision to MC... [mcp] 2026-07-30
Stop Listing Tools, Start Writing Code: Cloudflare Code Mode Rethinks MCP — Here is a counterintuitive fact about AI agents: the more tools you give one, the dumber it tends to get. Every tool you register goes into the model's context as a description it has to read, hold, and choose between on each step. Wire up a few dozen and the system prompt blo... [tool] 2026-06-26
August 2: The Day Your AI Agent Becomes High-Risk in Europe — There is a date on the European calendar that quietly changes what your AI agent is, legally speaking. On August 2, 2026, the high-risk obligations of the EU AI Act become binding . Not proposed, not phased in later — enforceable, with a compliance regime attached. And here is... [news] 2026-06-26
When a Prompt Becomes a Shell: How Prompt Injection Turned Into Remote Code Execution — Most teams think of prompt injection as a content problem. The agent gets tricked into saying something it shouldn't — leaking a system prompt, generating a biased answer, ignoring a guardrail. Embarrassing, fixable, bounded. In May 2026, Microsoft's own security researchers p... [research] 2026-06-26
The Worm That Lives in the Agent Feed: Moltbook and the First At-Scale Agent Injection Attack — A computer worm needs a vulnerability to spread. The one that tore through Moltbook in early 2026 needed only a sentence. No buffer overflow, no unpatched CVE, no malicious binary — just text, posted to a feed, written so that any AI agent reading it would treat the words as o... [news] 2026-06-26
The Great Convergence: Why Every AI Lab Shipped the Same Agent Architecture This Spring — Between April 15 and June 3, 2026, five companies that agree on almost nothing shipped almost exactly the same thing. OpenAI, Microsoft, Anthropic, Google, and LangChain each announced a major agent release. Each was covered as a competitive volley — another shot in the framew... [research] 2026-06-26
NVIDIA Vera Rubin: Seven Chips, Five Racks, and the Biggest Bet on Agentic AI Ever — Every previous NVIDIA launch followed the same script: one new GPU, faster than the last, benchmarks that make the previous generation look quaint. You upgrade your cluster, retrain your models, and wait for the next keynote. Vera Rubin does not follow the script. On March 16,... [announcement] 2026-03-23
GTC 2026: The Week Agentic AI Became an Industry — Thirty thousand people flew to San Jose last week for GTC 2026. They came expecting a GPU conference. What they got was a declaration: the token is the new unit of economic output, the AI agent is the new unit of labor, and NVIDIA intends to own every layer of the stack connec... [event] 2026-03-23
NVIDIA NeMo Agent Toolkit: The Open-Source Library for Orchestrating Enterprise Agent Teams — Every enterprise team building AI agents eventually hits the same wall. The prototype works. The demo impresses. Then someone asks: why does this agent take nine seconds on a query that should take two? Why does it call the wrong tool 15% of the time? Why did accuracy drop aft... [tool] 2026-03-23
Perplexity Personal Computer: The Always-On AI Agent That Lives on Your Mac Mini — Every AI company wants to be your operating system. Perplexity just decided that means shipping you actual hardware. On March 11, Perplexity unveiled Personal Computer at its Ask Conference — not a chatbot, not an API, but a persistent AI agent that runs continuously on a dedi... [news] 2026-03-23
Inside the Groq 3 LPU: The Chip Designed for Agent-to-Agent Speed — One hundred tokens per second is fast enough for you. It is nowhere near fast enough for your agents. That single observation — that the bottleneck in agentic AI is not model quality but inference latency between machines that talk to each other — is the thesis etched into sil... [research] 2026-03-23
How to Build an AI Agent That Actually Works: The Production Playbook — The most capable AI agent your team will ever build is the one you almost didn't ship. Not because the model was wrong, but because the architecture around it was. Here's the uncomfortable truth about production AI agents in 2026: the teams getting real results aren't building... [guide] 2026-03-23
Cicaddy and MCP: How Model Context Protocol Powers AI Agents Inside CI/CD Pipelines — Cicaddy and MCP: How Model Context Protocol Powers AI Agents Inside CI/CD Pipelines Most MCP demos end at the developer's laptop. Cicaddy puts MCP where it actually matters — inside the pipeline. The Model Context Protocol has spent the last year earning its reputation as the ... [mcp] 2026-03-18
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