IDEAS, DECISIONS & LESSONS
Notes on AI, architecture and building useful products.
878 articles
04 Aug 2026 · 7 min read
ai-ml
Daily English practice for tech professionals. Morning session covering hallucinate, inference, token budget, grounding, and RAG — the words you need to talk about LLMs confidently at work, in meetings, and in writing.
Read more04 Aug 2026 · 7 min read
ai-agents
Astra cracked a decade-old Erdős conjecture and published Lean-verified proofs on GitHub for $2,000 of compute. Fields Medalist Timothy Gowers called one proof Annals-worthy. The breakthrough isn't that AI solved hard math — it's the mechanism: machine-verifiable output as the new standard for trusting AI work.
Read more04 Aug 2026 · 8 min read
build-tools
TypeScript 7.0 ships a native Go compiler that delivers 8-12x build performance improvements. The benchmark numbers are real, but the deeper story is what this enables: faster CI/CD pipelines, more responsive local dev loops, and a changed calculation for monorepo architecture. Here's the engineering breakdown of what changed, what stays the same, and what your team should actually do.
Read more04 Aug 2026 · 8 min read
ai-agents
Cloudflare's Agents Week (August 2026) redefined what AI agent infrastructure looks like at scale — introducing @cloudflare/computer as a new compute primitive, the Agent Development Lifecycle (ADLC), and production patterns that separate agentic session management from traditional containerized workloads. Here's what it means for engineering teams building agent systems.
Read more03 Aug 2026 · 7 min read
english-lesson
Daily English practice for tech professionals. Morning session covering refactor, merge conflict, breaking change, rubber duck debugging, and how developers talk about code — with pronunciation guide, real exercises, and an idiom only devs use.
Read more02 Aug 2026 · 7 min read
english-lesson
Daily English practice for tech professionals. Sunday review session — consolidate the week's best words (deploy, inference, resilient, concise, negotiate, rapport), top idioms, and a spaced-repetition challenge to lock them in long-term.
Read more02 Aug 2026 · 7 min read
ai-agents
After PocketOS lost their production database in 9 seconds to a Cursor agent, and Replit destroyed 1,200+ executive records, the industry has enough post-mortems to see patterns. Here are the 7 failure classes, what each looks like in the logs, and concrete guardrail architecture for each.
Read more02 Aug 2026 · 7 min read
ai-productivity
Teams using AI coding tools generate 98% more PRs — and wait 91% longer for them to be reviewed. DORA data shows that for every 25% increase in AI tool adoption, team stability drops 7.2%. This is Amdahl's Law applied to software delivery, and the bottleneck isn't where most engineering leaders are looking.
Read more02 Aug 2026 · 6 min read
ai-agents
An ETH Zurich study tested AGENTS.md files across hundreds of real-world GitHub issues and found that LLM-generated context files reduce task success rates by 3%, increase costs by 20%, and add nearly 4 extra reasoning steps per task. Here's what actually works — and why less structured context is usually better.
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