Source & Architecture
Architecture Decisions for Future Teammates
A practical reflection on architecture decisions as team memory: how small ADR-style notes help future teammates understand trade-offs, rejected paths, and when to revisit a choice.
Writing
Blog
Deep-dives on software architecture and the way source code is structured — written to be understood by beginners, yet useful to teams shipping at scale. Diagrams, real examples, no hand-waving.
Latest articles — Page 7 of 23
Ways of Working
Decision Logs for Busy Teams
A practical reflection on decision logs: how small written records help busy teams remember trade-offs, reduce repeated debates, and keep delivery aligned without adding heavy process.
Perspectives & Field Notes
The Note You Return to Later
A reflective field note on why small unfinished notes matter: how returning to an old thought can reveal growth, clarify decisions, and make quiet learning visible.
AI & The Future
Human Feedback Loops for AI Work
A grounded look at AI work habits: why useful AI workflows need human feedback loops, evidence checks, test results, and team memory instead of one-off prompt outputs.
Engineering Culture
The Quiet Skill of Asking for Help
A calm look at asking for help in engineering teams: how to make context visible, protect dignity, and turn stuck moments into shared learning instead of silent pressure.
Source & Architecture
Choosing Boundaries Before Choosing Tools
A practical reflection on architecture boundaries: why teams should name ownership, data, and change patterns before reaching for frameworks, services, queues, or databases.
Ways of Working
When the Roadmap Meets Real Capacity
A practical reflection on the moment a roadmap meets real team capacity: how to make trade-offs visible, protect focus, and adjust plans without turning planning into blame.
Perspectives & Field Notes
The Courage to Write the First Rough Note
A calm reflection on why the first rough note matters: how messy writing makes thinking visible, lowers the pressure to sound finished, and helps quiet ideas become useful.
AI & The Future
The Cost of Trusting a Fluent AI Answer
A grounded look at fluent AI answers: why confident language can feel like evidence, where that creates risk, and how teams can keep AI useful by checking claims against sources, tests, and real context.