Granted AI creates sloppy code, but there are ways to make it Sr. Dev grade, mainly by getting rid of what I call Builder's Debt: - iterate the shit out of it to make it production grade OR - extract ACs from Jira, requirements from docs, decisions and query resolutions from Slack, emails, meeting notes, stitch them together, design coding standards relevant to the requirements and context before coding
Everyone keeps arguing about embeddings, vector DBs, and model choice, but in real systems, those aren’t the things breaking retrieval. Chunking drift is. And almost nobody monitors it. A tiny formatting change in a PDF or HTML file silently shifts boundaries. Overlaps become inconsistent. Semantic units get split mid-thought. Headings flatten. Cross-format differences explode. By the time...
Over the last few months, we’ve been working on creating an autonomous Agentic AI, and something unexpected kept showing up. I went in thinking the issues were with embeddings or the retriever, but the root cause was usually ingestion drifting upstream.Some patterns that kept repeating: • PDFs extracting differently after a small template or export tool change • headings collapsing or shifting...
Hey devs, I am building an agentic AI to be the AI tool for developers. I was wondering if it'll be helpful if the agentic AI generates the 1st working ver of app in one prompt with re-usable code that is tailored to project specs from Figma/Motiff, Postman or requirements docs. Additionally, what if the agentic AI also helps with elevating coding skills on every project, does code review,...
The reality is that since the 90s, we've all gone from spending 70% of our time on things we enjoy to 30%. This shift is due to info overload, multitude of apps and processes creating mundane tasks a necessity or 40% of our life. At 9 to 5 is now such a phased out term that it irks people , it's since we struggle to make time for things we enjoy. The same has happened on our personal lives as...