Vibe coding or AI-assisted development? The choice isn't binary, but getting it wrong at the wrong stage will cost you. This piece breaks down when to embrace speed over architecture, when to take back control, and why the best teams don't pick sides.
Performance bugs erode trust quietly until users explode. Three pragmatic steps help you catch slowdowns early: explore real bottlenecks with Sentry, test with production-sized data, and add lightweight API load tests.
If you believe what you see on LinkedIn, startups don't need employees anymore, real founders just have agents building their companies. You write a prompt, fire off the agent, and wait for customers. In reality, you get a vague workflow that produces a mediocre demo at best.
In the first of a series exploring infrastructure fundamentals, Brenden addresses the most frequently asked questions about what's really happening under the hood with complex pipelines and AI/data systems, bringing the cloud to life.
I recently encountered a issue with MySQL query performance. A particular query would perform very badly in production, but perform very well in the testing environments.
For small teams without a designer, v0 is a game-changer. The cost justifies itself by letting you explore and validate ideas in minutes rather than days.
What can investors do about legacy code to prevent your startup from failure? What is the difference between legacy and technical debt?
Tired of git blame pointing to useless formatting commits? Learn how to ignore revisions with --ignore-rev or .git-blame-ignore-revs to keep Git history accurate and helpful.
Professor Quacks is back with five more principles for better engineering: build tools that help, move with healthy urgency, plan wisely, work well with others, and lead by example. These aren’t just coding tips, they’re culture-shaping lessons.