Deep dives into AI coding tools, architecture patterns, and how Atlarix fits into your workflow.
We ran a controlled benchmark comparing Blueprint-assisted vs unassisted agentic exploration on a production multi-repository workspace. Here's what we found — including a counterintuitive result about total context usage.
Everyone reaches for embeddings and a vector database. Atlarix doesn't — no embedding model, no vector index, nothing uploaded. Here's how bundled ripgrep and the model's own reasoning give it real, whole-codebase context, and why that's the better call for code.
Benchmarks, demos, and feature lists don't tell you if a tool works on your codebase. Here's the checklist we use — and that you can use — to evaluate any coding agent on what actually matters: model access, retrieval, control, and data path.
Run the full coding workflow on your own hardware with Ollama or LM Studio. Here's why local models actually perform in a desktop workstation, where they often don't elsewhere.
Most AI coding tools ship as editor forks or plugins. Atlarix is a standalone desktop workstation that sits beside any editor. Here's the capability case — local models, the approval queue and sandbox, and a browser/terminal around the agent.