Creează un cont pentru a te abona la acest blog și a-i urmări articolele pe pagina Lectură.
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When an agent helped write a pull request, the first question most reviewers ask is who wrote it.
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When your team stops trusting its AI code review, the obvious fix is to add a second AI.
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On a lot of teams, code that a pair of devs wrote usually gets a lighter code review.
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A one-line warning in my deploy log took my site down for thirty minutes.
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Nothing logs a 1:1.
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Tech debt you can see, point at, and put on a ticket.
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When making something gets cheap but judging it stays expensive, the cost slides downstream...social media did it to your feed, AI code generation does it to your repo.
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The risky PR is rarely the big one...it's the one carrying money code, a migration, or a red build, regardless of size.
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Deleting a year-dead feature flag turned a forgotten feature back on and broke production...here's why flag cleanup is a runtime change, not tidying, and how the context you need decays while the flag sits there looking harmless.
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Big PRs don't come from lazy engineers.
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Most merge standards are wiki decoration.
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The three targets I set for my engineering team — PR size, open-to-merge time, and change failure rate — and why these are the three that matter.
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Most code-review checklists ask "does this work?"
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Building software is like traveling between destinations.
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Hello, hello!
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"If you can't explain something to a first-year student, then you haven't really understood."...
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Ever feel like you're juggling too many tasks, and letting too many things fall through the cracks?...
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Let's face it: in software engineering, change is as inevitable as bugs in a first release.
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Once again, I'd like to start this week's post off with a question.
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Continuous learning.
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Hello hello 👋 I'd again like to start this week's post off with a question.
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Let's face it: the world of software development is massive, and it's only getting bigger.