Writing
Architecture decisions, backend and API design, AI-assisted development, and what I learn taking products to production. No filler — pieces land here as they're finished.
A grounded look at where AI tools actually help across the software development lifecycle — research, planning, implementation, debugging, review, docs and tests — and what they still should not decide for you.
A working developer's take on the small, single-purpose utilities — JSON viewers, a regex tester, a JWT decoder, timestamp and HTTP lookups — that remove friction from everyday tasks, when to reach for each, and when not to.