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.
- · blog.lepine.pro
When code complexity lives in the prompt
Discover why traditional code metrics fail for LLM apps and learn new ways to measure prompt complexity based on maintenance effort correlations from recent research.
- · generativeai.pub
Your Subagents Are Not Coworkers. They Are Disposable Context Firewalls.
Stop treating AI subagents as coworkers. This guide explains how to use them as disposable context firewalls to isolate noise, optimize token costs, and prevent context pollution in agentic systems.
- · newsletter.posthog.com
Stop being the code review bottleneck
Discover four workflow changes to automate AI code reviews including multiple agent swarms and PR babysitting loops. Reduce human bottlenecks while maintaining quality through observation over reasoning techniques.
- · generativeai.pub
The Developer’s Guide to Testing LLM Apps Before Production
Discover essential strategies for evaluating LLM applications including golden datasets, rubrics, RAG metrics, and safety checks to ensure reliability before shipping.
- · yourdevteamcoach.com
Anthropic Will Be the First Major AI Company to Fail
Analyzes why Anthropic faces failure risk due to lack of infrastructure ownership versus SpaceX. Explores compute economics and market shifts in AI coding tools.
- · generativeai.pub
You Are Not Late to AI — You’re Ridiculously Early
Discover seven strategic methods to leverage Claude AI for rapid skill acquisition, career advancement, and business automation. Learn prompt engineering techniques and niche specialization strategies to outperform competitors.
- · generativeai.pub
Your AI Is Speaking. But Do You Know What It’s Actually Costing You?
Compare Google Gemini Live and Amazon Nova Sonic pricing structures including audio tokens, text context re-billing, and tool call costs to optimize voice AI agent budgets.
- · generativeai.pub
The future of AI isn’t the cloud. It’s the device in your hands.
Discover how fixed-size summary architectures like Gated DeltaNet optimize memory usage for running large language models directly on consumer hardware.
- · generativeai.pub
This Repo Cut My Agent’s Token Bill by 88% and the Answer Didn’t Change
Discover how the headroom tool reduces LLM token costs by compressing tool outputs and logs before model ingestion using reversible compression techniques.
- · generativeai.pub
I Stopped Writing Claude Skills in One File. Here’s the Three-File Split That Replaced It.
Learn how to architect robust AI agent skills by separating behavior, data, and validation into distinct files to prevent regressions during updates.