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This is Part 6 of “The Centaur’s Toolkit” series, where we explore practical strategies for human-AI collaboration in technical work. Nobody likes writing documentation. I’ve never met a developer who wakes up excited to document their code. We know it’s important. We know future-us will be grateful. We still procrastinate until the last possible moment, then write the bare minimum. This isn’t a character flaw. It’s a rational response to incentives. Documentation takes time, provides no immediate feedback, and often becomes outdated before anyone reads it. The effort-to-reward ratio feels terrible. ...

This is Part 5 of “The Centaur’s Toolkit” series, where we explore practical strategies for human-AI collaboration in technical work. A new AI coding tool launches every week. Actually, that’s an understatement. Multiple tools launch every week, each promising to revolutionize your workflow. Each one has a Twitter thread explaining why it’s better than what you’re using now. If you tried to evaluate every new tool, you’d never write any code. ...

This is Part 4 of “The Centaur’s Toolkit” series, where we explore practical strategies for human-AI collaboration in technical work. Code review is one of those practices everyone agrees is important and almost nobody enjoys. You’re deep in your own work when a PR notification arrives. You context-switch, try to understand someone else’s mental model, and attempt to provide useful feedback before the next interruption hits. It’s mentally draining. And honestly, most reviews end up being superficial because thorough review takes time nobody has. ...

Note: This guide combines personal experience from writing deployment scripts across macOS, Linux, and Windows environments with patterns documented in the Python pathlib documentation, Git documentation, PowerShell cross-platform guidance, Python subprocess module, and GitHub Actions runner images. A deployment script that works on macOS. A colleague runs it on Windows. It fails immediately. The culprit? A hardcoded forward slash in a file path. I’ve seen this exact scenario play out multiple times over the past five years, and it’s almost always preventable. ...

This is Part 4 of “The Centaur’s Toolkit” series, the finale. We’ve covered collaboration fundamentals, security applications, and calibrating trust. Now we tackle the question that ties it all together: is this actually working? You’ve been using AI as your coding partner for three months. You feel faster. More productive. Like you’re getting more done in less time. But feelings lie. That sense of productivity might be real. Or it might be the satisfaction of constant activity masking the fact that you’re shipping buggier code, accumulating technical debt, or slowly losing skills you used to have. ...