Stop Teaching AI to Code Step by Step: The Claude Code Team's #1 Advice Is 'Give It Back Its Judgment'
The counterintuitive advice from the Claude Code team at AIE 2026: don't tell Fable when to write tests — let …
#Ai
Newer Claude Models Are Worse at Using Your Tools: An Engineering Trap of RL Training Backfire
Armin discovered that Opus 4.8 and Sonnet 5 are actually more error-prone than older models when calling Pi's …
After AI Codes 10x Faster Than You, the Only Skill That Holds Value Is 'Understanding'
When AI can rewrite a JavaScript runtime in days, 'being able to write code' is no longer a moat. Geoffrey …
SOTA on Paper, Engineering Traps in Production: Claude Opus 5's Hidden Risks
Claude Opus 5 tops Frontier-Bench and CursorBench at half the price of Fable 5. We look past the benchmarks to …
llama.cpp, vLLM, SGLang: Three Inference Engines, Three Completely Different Paths
llama.cpp, vLLM, and SGLang aren't competitors in the same lane — they're built on entirely different design …
BigQuery AI.AGG: When GROUP BY Starts Calling Gemini
Google wired Gemini into a BigQuery aggregate. Each group now returns one natural-language answer. We walk …
Seven Questions About Kimi K3: China's Quiet Fable 5 Contender
Moonshot AI teased K3 with a 36-second video, but the real story was already unfolding on Chatbot Arena — …
Building AI Agents in Rust (Part 3): Refactoring Tools into a Skill Registry with Traits
Part 3 replaces the Part 1 match dispatcher with a Rust trait system: Skill, Registry, DynSkill, …
Building AI Agents in Rust (Part 4): State Machines for Multi-Step Tasks
Part 4 introduces state machines for multi-step tasks: Node trait, Graph runner, SQLite checkpointing, …
Building AI Agents in Rust (Part 5): Multi-Agent Crews
Part 5 covers multi-agent collaboration: when to add agents and when not to. The Agent trait, Crew …