AI Radar
Other people's articles on AI agents, LLMs and AI-assisted development. I read what comes through and keep what's worth your time.
- · gruhn.me
Don't be a meat proxy
Learn why blindly forwarding AI responses in Slack or code reviews reduces value. Discover how to validate and rewrite AI output to maintain human agency and improve team communication efficiency.
- · newsletter.posthog.com
This post will save you tokens
Explore proven techniques for reducing LLM expenses via improved caching strategies, model routing, context engineering, and observability practices implemented at scale.
- · newsletter.posthog.com
Read this before deleting your AGENTS.md
Reduce AI agent context bloat instead of adding rules. Explore three strategies: automated health checks, testing context like code, and feedback loops for improved model performance.
- · f2r.github.io
I Stopped Running Several Agents
Why running multiple AI coding agents creates bottlenecks and decision fatigue. Optimize workflow by limiting work in progress and elevating human capacity instead of forcing parallelism.
- · f2r.github.io
Those Who Removed Code Review Are Right
Explore why manual code review breaks at AI scale and discover the four automated pillars needed to verify intent without slowing down continuous deployment pipelines.
- · master.dev
Introducing AI Skills for Real Engineers
Discover how to implement Matt Pocock’s AI skill suite for Claude Code to refine requirements, manage tickets, and enhance developer workflows with LLMs.
- · newsletter.posthog.com
What nobody tells you about writing agent skills
Learn how to design effective AI agent skills using progressive disclosure, prevent context rot, and optimize maintenance workflows for better developer productivity.
- · florian.bruniaux.com
Your agent config is already 90% portable. The gap that's left fits in one TOML header.
Learn how to share AI agent configurations across Claude, Codex, and Cursor using portable standards while handling MCP secrets securely with a custom generator.
- · generativeai.pub
Memory Isn’t a Bigger Context Window
Learn why larger context windows fail as memory solutions in AI systems. Discover how to design governance layers for validated knowledge, expiration rules, and trust models instead of simple retrieval augmentation.
- · generativeai.pub
Prompt Engineering Is Dead. Schemas Killed It.
Discover why native constrained decoding renders manual prompt engineering obsolete for structured output. Learn how schema design and validation loops enable reliable agentic systems.