IDEAS, DECISIONS & LESSONS
Notes on AI, architecture and building useful products.
878 articles
23 Jul 2026 · 6 min read
ai
Forward Deployed Engineers embed with customers and solve real problems with code in real-time. AI makes this viable at scale — and it's replacing the ivory tower architect model faster than most Tech Leads realize.
Read more23 Jul 2026 · 5 min read
english-lesson
Daily English practice for tech professionals. Morning session covering meeting vocabulary — facilitate, action items, push back — with pronunciation guide and real workplace exercises.
Read more23 Jul 2026 · 6 min read
agent-security
Anthropic's containment model treats AI agents like untrusted user code: sandboxed execution, permission scoping, network egress control, and tool whitelisting. Here's how to implement all four layers in production .NET systems.
Read more22 Jul 2026 · 5 min read
architecture
Daily English practice for tech professionals. Morning session covering architecture vocabulary — idempotent APIs, fault tolerance, service mesh — with pronunciation guide and exercises.
Read more22 Jul 2026 · 7 min read
ai-agents
CNCF's July 2026 paper makes the case that Kubernetes is the natural convergence platform for AI agents. Here's why they're correct — and how to run AI agents on Kubernetes today with proper isolation, policy enforcement, and observability.
Read more22 Jul 2026 · 7 min read
ai
OpenCode #1, Cursor #2, Claude Code #3 — but which AI coding tool is right for your team? A practical Tech Lead framework with 5 evaluation criteria, real trade-offs, and a recommendation matrix for startups vs enterprises.
Read more21 Jul 2026 · 5 min read
ai-ml
Daily English practice for tech professionals. Morning session covering AI/ML vocabulary with pronunciation guide, exercises, and real-world examples for developers working with LLMs.
Read more21 Jul 2026 · 4 min read
ai
Moonshot AI's Kimi K3 just beat Claude Fable 5 on Frontend Code Arena. Here's how to evaluate any new open-weight model release as a Tech Lead — from benchmarks to real production tasks.
Read more21 Jul 2026 · 6 min read
ai-agents
Single-agent coding assistants hit a context wall the moment a task spans more than one concern. Claude Code's answer is a Lead Agent coordinating Specialist Agents over a shared task system with hard context isolation — here's how the architecture works, and a concrete rollout plan for applying the same pattern to your team's workflows and your own projects.
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