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ai-agents
256 postsChange proposals in FHIR: human review for AI-driven writes
Letting AI agents write directly to FHIR is risky. This pattern turns mutations into reviewable Bundle proposals, keeping a human in the loop before anything executes.
Testing Distributed Systems with AI Coding Agents
Two SKILL.md based agent skills generate claim-driven test plans and verdict reports for distributed systems, working with Claude Code, Codex, and more.
LLM agents are breaking 20-year-old web architecture
Stateful LLM agents are exposing cracks in the stateless-server-plus-database web architecture. The missing piece: a routing primitive that can address running processes directly.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comCruxible: An Open-Source Governed Truth Layer for AI Agents
Cruxible replaces unreliable text-based memory for AI agents with a deterministic, auditable state layer. Open-source, Apache-2.0 licensed, built with Python and SQLite.
LangGraph Pipelines Can Succeed and Still Be Wrong
LangGraph pipelines can finish cleanly while routing decisions silently drift wrong. See why maker/checker divergence and state snapshots catch what standard monitoring misses.
How to Make an AI Agent's History Truly Unforgeable
An AI agent's unforgeable-history claim failed audit: dual writers, race conditions, corrupted records. Fix: single writer, signed anchor, fail-closed design.
Making Documentation AI-Agent Ready with llms.txt
RevoGrid's team explains how llms.txt, llms-full.txt and Skill bundles work together to help AI coding agents find accurate documentation.
Building a Deterministic Merge Gate for AI-Generated Code
A POSIX shell gate checks AI-generated patches before merge: size budgets, sensitive path ownership, and Git diff hygiene, independent of the model that wrote the code.
Passing agent commerce checks without faking compliance
turva.dev fixed A2A, AP2 and ACP agent-readiness checks without faking compliance, while deliberately leaving x402 and Web Bot Auth flagged red.
RAG vs AI Agents: Understanding the Real Difference
RAG retrieves knowledge; AI agents plan and act. This piece breaks down the architectural differences and when to use each approach in production systems.