AI blogs

There's a particular kind of conversation that happens when a new developer joins a project that's already been running for a year. "Walk me through the authentication flow." Twenty minutes of explanation, questions, and the new developer's growing expression of polite confusion as each answer spawns two more questions. "Why is this in this folder?" Because of a decision made eight months ago when the structure was different, never documented, now just history. "Why doesn't this API follow the same pattern as the others?" Because one of those endpoints was added by someone who'd moved on before we standardized the approach. Onboarding is expensive. It's expensive in experienced developer time, in the time the new person spends finding things through indirect experience rather than documentation, and in the mistakes that happen in the gap between "I think I understand how this works" and "I actually understand how th...

There's a specific kind of confidence that settles in after you've been living inside a codebase for several weeks. You've written most of it yourself. You've debugged it, iterated on it, watched it evolve from a rough scaffold into something that actually works. The tests pass. The features behave as expected. You look at the code and feel, if not exactly proud, then at least comfortable. This was mine, and it was fine. That's exactly the mental state where blind spots grow. The project was a task management application for small teams — a full-stack build with a React frontend, a Node.js backend, a PostgreSQL database, and a REST API connecting them. About eight weeks of work, including a fair amount of refactoring as the feature set evolved. Not a massive codebase — around five thousand lines of meaningful code — but substantial enough that I couldn't hold the whole thing in my head at once. I'd been reading about using AI for code review as a compleme...

At some point last summer, I counted my browser tabs at the end of a working day. Twenty-three. And that was a relatively focused afternoon. There was the project's GitHub repository, the documentation for two libraries I was using, a Stack Overflow answer I'd been meaning to read properly, three different conversations with AI assistants in separate browser tabs, the Jira board, two architecture diagrams I'd been referencing, and the usual cloud of context accumulated from a day of writing code. The deeper problem wasn't the tabs. It was that I was maintaining four or five different tools simultaneously during active development — the code editor, the browser, one AI assistant for code questions, another for general research, documentation I was checking manually — and the switching cost between them was constant. Every time I had a question, I had to decide which tool to ask, navigate to it, provide context again because nothing remembered our previous conversation,...

When I first opened the codebase, I just sat there for a minute. I'd been brought onto a project mid-stream — a freelance contract to add three new features to an existing platform that had been running in production for about six years. The platform worked. Customers were using it daily. Revenue depended on it. My job was, in theory, to add a customer segmentation feature, improve the reporting dashboard, and optimize a slow checkout flow. What I found when I actually opened the repository was a PHP monolith with no tests, inconsistent naming conventions across files that had clearly been written by four or five different developers over the years, business logic scattered between controllers and database queries and occasional JavaScript files that did things that should have happened server-side, and approximately zero documentation. The original developer had left the company two years earlier. Nobody currently at the company fully understood how the whole system fit together...