Grigoriy Dobryakov – IT+AI Blog
Grigoriy Dobryakov's blog: management, development and testing
Non-technical people are outperforming developers with AI. This isn’t luck. It’s a very old principle showing up in a new context.
Something counterintuitive has been happening over the past year. The people most likely to complain that AI is "useless" are software developers. The people actually getting results? Course sellers, project managers, humanities graduates, and business analysts.
The pattern has a name.
Continue reading “Why AI works for everyone except certain developers”
AI keeps repeating the same mistakes? That’s not a model problem. It’s an engineering gap. How to give your agent persistent memory in three minutes — and why this beats RAG for most projects.
Developers complain that AI repeats the same mistakes. "I've explained five times that we don't use Redux here." "It suggested FTP again instead of a queue." "It keeps ignoring our naming conventions."
That's not a model problem. It's an engineering gap.
Continue reading “The Self-Learning Agent Pattern: decisions.md + mistakes.md”
Without a domain substrate, an agent ships FTP and CSV and calls it done. Book-as-context puts a book into the project as a wiki — next to LLM Wiki and book-to-skill — so a short prompt yields outbox, queues, idempotency, and fault tolerance.
Give the agent an authoritative book on the subject as a wiki in the repo — indexed and cross-linked, not a one-off file drop into the chat. Then even a short prompt designs in the source’s terms: queues, delivery guarantees, idempotency, fault tolerance. Below: the book-as-context method, a shop→ERP walkthrough, and the method’s limits.
