IDEAS, DECISIONS & LESSONS
Notes on AI, architecture and building useful products.
878 articles
29 Jul 2026 · 5 min read
architecture
Daily English practice for tech professionals. Morning session covering architecture vocabulary — throughput, bottleneck, horizontal scaling, fault tolerance, load balancing — with pronunciation guide, exercises, and real-world tech examples.
Read more29 Jul 2026 · 6 min read
ai
Anthropic used Claude Mythos Preview in a 60-hour multi-agent run to find genuine mathematical weaknesses in HAWK (a NIST post-quantum candidate) and reduced-round AES. Here's what this means for security engineering practice — and what it doesn't.
Read more28 Jul 2026 · 7 min read
agentic-ai
Your 100-step AI agent crashes at step 87. What happens next? Durable execution solves the fundamental fault-tolerance problem in production agentic workflows. Here's the technical breakdown and decision framework.
Read more28 Jul 2026 · 6 min read
ai
All four major clouds shipped agent code sandboxes in the same quarter. Four isolation architectures, four trade-off profiles. Here's the technical comparison and decision framework for Tech Leads picking the right sandbox for their AI stack.
Read more28 Jul 2026 · 4 min read
ai-ml
Daily English practice for tech professionals. Morning session covering AI vocabulary — inference, latency, fine-tuning, embeddings — with pronunciation guide, exercises, and real-world tech examples.
Read more27 Jul 2026 · 6 min read
ai
PR volume is up 20% but incidents-per-PR rose 23.5%. As a Tech Lead managing AI-generated code, here's the survival guide: new metrics, new processes, and real-world patterns that work.
Read more27 Jul 2026 · 5 min read
english-lesson
Daily English practice for tech professionals. Morning session covering technical vocabulary — refactor, ship to production, tech debt, deprecate — with pronunciation guide and real code-review exercises.
Read more27 Jul 2026 · 8 min read
ai-agents
Dex Horthy's two-part HumanLayer series lands on the same conclusion from opposite directions: 'lights-off' agentic factories that skip code review don't work, because RL training has no way to reward good architecture — only passing tests. The fix isn't less AI, it's front-loaded structure: research/plan/implement, frequent intentional compaction, and four review checkpoints before code gets written. Here's the synthesis and a rollout plan.
Read more27 Jul 2026 · 7 min read
agentic-ai
Martin Fowler named it. Verification is the bottleneck, not code generation. Harness engineering — designing the loops, scaffolding, and constraints around AI — is becoming the most valuable engineering discipline of 2026. Here's the practical playbook.
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