Seroter's daily reading list: 38 AI product lessons, 88% of AI pilots never reach production
rseroter · x · 2026-10-15
Richard Seroter's #888 daily reading list curates key AI/engineering reads: 38 lessons from building AI products; the tradeoff between predictability and outcomes; why 88% of AI pilots never make it to production; one Agent Development Kit spanning five languages (with doubts that code-first agents will dominate); the unsettled debate on managing context in AI agents; Anthropic scaling telemetry and billing with Pub/Sub; and why OKRs failed for one team. His takeaway: ask better questions after every headline.
More from coding & agent
- exe.dev Builds Radiant, a Fully Agent-Driven Figma Rival That Ships Real Code — davidcrawshaw · 2026-10-15
- The top skill for coding agents: nail naming, folder structure, and data models first — weswinder · 2026-10-15
- Thud Audio Action Model Claims 10x Faster, 20x Cheaper Than Gemini Live — AnhPhuNguyen1 · 2026-10-15
- Distill a Tiny Model per NPC Instead of Using Frontier LLMs, Says Quintin Pope — QuintinPope5 · 2026-10-15
- Sentry CLI weekly downloads jump from 1.7M to 3M as cloud coding agents pile in — zeeg · 2026-10-15
- Entire Minecraft Crammed Into Elden Ring as an AI-Built Mod — DeryaTR_ · 2026-10-15