AI

When everyone in the community is chasing multi-agent systems, it’s hard to say no to one in your own design. I feel that pull too. So I ask myself five questions based on what I’ve read, and the third one matters most. 𝟭. 𝗖𝗮𝗻 𝘆𝗼𝘂 𝘄𝗿𝗶𝘁𝗲 𝘁𝗵𝗲 𝘀𝘁𝗲𝗽𝘀 𝗱𝗼𝘄𝗻? If they rarely change, a workflow […]

Every AI assistant that answers from your documents has to connect the dots somewhere. You only get to choose when: before anyone asks, or while they wait. That one choice is the clearest way I know to explain GraphRAG and Agentic GraphRAG. Plain RAG does the least of both. It indexes your documents so similar […]

Claude Code, Cursor, GitHub Copilot, Windsurf, ChatGPT, Gemini — I call them my assistants. Lately, I’m not so sure who’s assisting whom. Agentic tools keep handing me decisions in the same shape:– Option 1 (Recommended)– Option 2– Other When I know the domain, I actually choose. When I half-know it, I read the alternatives and […]

In 1995, Watts Humphrey handed every developer a personal process. It failed. His Personal Software Process (PSP) let a single developer run a defined, measured, continuously improving process. It worked, but the bookkeeping killed it. Time logs, defect logs, forms after every task. Almost nobody could sustain it. Humphrey moved on to team processes, and […]

If you use AI for coding every day, you may have noticed something strange: Your AI coding assistant gets dumber the longer you talk to it. Most developers feel it but can’t name it: you start a chat, it’s brilliant. An hour later — same model, same task — it’s forgetting your instructions and repeating […]

Since last week, when the current university semester officially ended, I’ve found a little time to work on the things I love. Learning data science and machine learning—itself an endless journey—helps me think about new problems and prepare possible approaches for them in my mind. One class of these problems is the application of machine […]