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.
- · 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.
- · marmelab.com
Agentic Software Factories: The Future Of Programming?
Explore how agentic software factories powered by GenAI enable non-programmers to build custom applications via specialized harnesses and AI agents, reshaping the role of software engineers.
- · generativeai.pub
The AI Bottleneck Has Moved. Most People Are Still Solving Yesterday’s Problem.
Learn why AI success now depends on context and system design rather than prompt engineering. Explore shifts in model capabilities and workflow optimization strategies.
- · generativeai.pub
Loop Engineering: The Skill Behind Every AI Agent That Actually Works
Discover why reliable AI agents depend on system design over clever prompts, covering loop mechanics, cost control, and observability for production deployments.