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LAI #138: The Agent Reality Check

Agent evals, retry tracing, runaway costs, and the context your agents actually need.

LAI #137: Where AI Engineering Is Going in 2026

Persistent memory, agent infrastructure, observability, and the skills that matter next.

I just opened access to our entire engineering team

Submit your architecture, resume, or code: our engineers review it

LAI #136: Build Faster With Agents, Debug Their Failures, and Evaluate Them More Reliably

Better agents, better evaluation, and fewer production surprises.

LAI #135: The Useful Part of Graph Engineering Is Not the Graph

When JSON hurts reasoning, Anthropic wins our dream-workplace poll, and bad statistics make chocolate look like a diet plan

LAI #134: Your First LLM App on AWS for Under a Dollar

Loop engineering with Claude Code, plus a Towards AI enterprise launch, vLLM on L40S, and context windows as memory management

LAI #133: The Most Anticipated Model of the Year and Most of You Skipped It

Plus a self-evolving agent framework, AWS's phase-gated Claude Code, and an e-commerce search engine at 95% recall

LAI #132: We Open-Sourced the AI Tutor Our Students Actually Use

Run it locally, add your own content, plus our World's Fair workshop, RAG injection through documents, and attention as physics

I keynoted alongside OpenAI and DeepMind

Front-row access to our World's Fair keynote, free

LAI #131: A Tool Call Can Succeed and Still Be the Wrong Tool

The agent debugging blind spot, plus Microsoft's no-synthetic-data stance, attention as physics, and 7 layers of LLM cost cuts.