» Tag
ai-agents
246 postsNew Verification Gate Catches AI Models' Silent Omissions
A layered verification gate now catches AI models that silently skip claims they should surface, splitting omission into checkable failure states.
Claude Code Skills Guide: Automating Your Dev Workflow
How Claude Code's Skills evolved into a directory-based standard, with frontmatter controls and a real /code-review workflow example.
AI Agent Runtime Policy: Stop Dangerous Tool Calls Before They Execute
A runtime policy layer stops AI agents from calling dangerous tools in production: risk tiers, delegation scopes, and argument validation explained.
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.comThe Hidden Risk of Giving LLM Agents Terminal Access
Giving autonomous AI agents shell access can wreck your filesystem. Open-source rewind-sdk uses OverlayFS to enable millisecond-fast checkpoints and rollbacks.
Refactoring Cuts AI Coding Agent Token Costs by 83%
An experiment shows refactoring an AI-agent-built codebase cut input token costs for repeated code changes by 83%.
Why Raft Rebuilt Notifications to Work for AI Agents, Not Just Humans
Raft's engineering team redesigned notification architecture after discovering AI agents can't selectively ignore messages the way humans do.
NMEMORY: An AI Agent Memory That Refuses to Guess
NMEMORY is a local, network-isolated AI agent memory over MCP that abstains instead of fabricating answers. Rust, SQLite, 21 MCP tools, verifiable guarantees.
Building an AI Coding Workflow: The Right Agent at the Right Stage
A framework combining Shape Up, OpenSpec, and ADRs to split AI-assisted coding work between human judgment, agent drafting, and automation.
AI Agent Cost Drift: Rolling Dashboards Miss 0.35%/Day Creep
Why do rolling-average dashboards miss a 0.35%/day AI agent cost increase? A math proof and 60-day test show the blind spot - and the fix.
The 75% False-Negative Wall LLM Reviewers Can't Move
Why LLM-based reviewers hit a fixed 75% false-negative rate, and why voting, reruns, and prompt calibration all fail to move it.