Software engineering, explained

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Seven articles on how software gets designed, built, planned and put to real use.

1. Part 1 of 79 min read

   Clean Architecture in .NET Core, explained simply

   A kitchen analogy for layers, the one rule that makes the design work, a small C# example, what it does for testing, common mistakes, and when not to use it.

2. Part 2 of 77 min read

   How I build small Android apps with AI assistance

   A first-person, honest account of designing, building, testing and preparing 24 small offline Android apps with AI tools, what the AI does well and badly, and why a human still reviews everything.

3. Part 3 of 78 min read

   Forward Deployed Engineering explained

   What a forward deployed engineer does, where the term comes from, how the role differs from nearby roles, and how AI is making it more important.

4. Part 4 of 712 min read

   Agile in the age of AI: shorter cycles, same discipline

   Do we still follow agile when AI writes much of the code? Yes, but compressed: shorter cycles, sharper briefs, stricter verification, and lessons fed back into the team's instruction files.

5. Part 5 of 717 min read

   Planning short delivery cycles in the AI era: the board and the plan

   A practical playbook for planning one-to-three day delivery cycles when AI does much of the building: the board, a 30 to 45 minute planning ritual, sizing by verification effort, and a worked week.

6. Part 6 of 711 min read

   The AI-era delivery system: roles, meetings, quality gates and release

   Part B of the playbook for short AI-assisted delivery cycles: who briefs, builds, verifies and ships, the three meetings, ready and done, quality gates, release and rollback, and sharing context with a team.

7. Part 7 of 710 min read

   Vibe coding explained: what it is, where it works, where it breaks

   A balanced, picture-led guide to vibe coding: what the term means, a spectrum from pure vibe to careful AI-assisted engineering, where each fits, the honest limits, a safety checklist and a gate between prototype and production.