Safe file access for a coding agent
An agent that edits files and runs commands is useful and, handled carelessly, risky. How we set its permissions.
10 minEverything we publish on AI: the models we run on our own machines, what the tools send home, the benchmarks we measure ourselves and the claims we check against the code. Start with the investigations, then the guides.
An agent that edits files and runs commands is useful and, handled carelessly, risky. How we set its permissions.
10 minWhat each one costs per person a month, and the open-source step that replaces it.
11 minA model on Ollama plus a self-hosted search index that searches, reads and writes a cited report.
12 minThe commonest mistake is pulling a model your machine cannot hold. Sizing a model to the memory you have.
10 minIt looks intimidating because it shows every step of image generation as a node. That is also where its power is.
11 minAnythingLLM: drag in a PDF, ask a question, get an answer with citations, on your own machine.
11 minWhisper turns audio into text; WhisperX adds speakers and timestamps, offline.
11 minWith a local model it reads the repo, proposes diffs, runs commands and commits with clean messages.
11 minLocal autocomplete in VS Code through Ollama: you pick the model and no line of code leaves the room.
10 minOpen WebUI wired to Ollama: a chat app that looks like ChatGPT, answered by a model on your machine.
10 min