Seven years ago I wrote a post called Technical CV writing is hard, pulled my own CV apart, and explained every choice in it. I even bragged that it converted to a first interview about eighty per cent of the time, then …
If your CLI tool talks to an AI model, you don’t want to hard-wire one vendor. So you reach for a single client interface over several providers, which is the right call. The trap is the next step: build that interface …
“Let users point at their own AI endpoint” is one of those config options that looks completely harmless on the way in. People want it, for perfectly good reasons. Then you sit with it for a minute and realise you’ve …
“You can’t test code that calls an AI.” I’ve heard it said with great confidence, and it’s half right, which is the most dangerous kind of right. You genuinely can’t assert on what a non-deterministic model says. But the …
go-tool-base’s chat package puts five AI providers behind one interface. Four of them are exactly what you’d guess: HTTP calls to OpenAI, Claude, Gemini, and anything OpenAI-compatible. The fifth one isn’t an API at all. …
An AI conversation is, fundamentally, its own history. The model’s next answer depends on everything said so far. And a CLI tool, by its very nature, forgets everything the moment it exits. Put those two facts together …
Most AI code generation works on a charming little principle I’ll call generate-and-hope. The model writes the code, the model stops at the closing brace, and whether the thing actually compiles is left as an exercise …
Ask an LLM a question and it hands you back prose. Lovely to read, miserable to program against. You wanted the one number buried in the middle of it, and now you’re writing a regular expression to fish a word out of …
An AI that can only produce text can describe your system. An AI that can call your Go functions can actually operate it. That gap, between describing and doing, is the difference between a chatbot and something …
Let me describe the actual lifecycle of a user meeting your CLI tool, because it’s a bit humbling. They run it. It doesn’t quite do what they expected. They run it again with --help. They get a wall of monospaced flag …
