Earlier quoted context omitted.
Yes and no. There are many not-trivial things you have to solve when using an LLM to help (or fully handle writing) code. For example, applying diffs to files. Since the LLM uses tokenization for all its text input/output, sometimes the diffs it'll create to modify a file aren't quite right as it may slightly mess up the text which is before/after the change and/or might introduce a slight typo in text which is being…
I'm part of the subset of developers that was not trained in Machine Learning, so I can't actually code up an LLM from scratch (yet). Some of us are already behind with AI. I think not getting involved in the foundational work of building coding agents will only leave more developers left in the dust. We have to know how these things work in and out. I'm only willing to deal with one black box at the moment, and that…
Start small, hit issues, fix them, add features, iterate, just like any other software.
There's also a handful of smaller open source agentic tools out there which you can start from, or just join their community, rather than writing your own.