// Field Notes
Practical writing from real engagements — what to do when a project goes sideways, how to check code an AI wrote, and how shipping software should actually feel. No fluff, no invented numbers, nothing we haven't done.
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What to do when a freelancer or agency abandons your software project: secure your code and accounts, document everything, and avoid the expensive second mistake.
Read the post →The method we use on day one of every rescue: get it running, read the data model, mine the git history, and find the load-bearing hacks — before changing anything.
Read the post →Vibe-coded your app and now it's failing in production? The predictable ways AI-generated code breaks with real users — and what to do before you panic-rebuild.
Read the post →15 checks to run on an AI-generated codebase before real users arrive: secrets, server-side auth, data isolation, backups, runaway queries — and how to test each one.
Read the post →Releases hurt and someone said “hire a DevOps engineer.” The honest math of the full-time hire, the real alternatives, and the cases where hiring is right.
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