David Longman

BIG day for us!! @CommandCodeAI has crossed $1M in annual run rate, 1 trillion tokens of usage, with over 9K customers, just 24 days after our public beta launch. we believe this makes it the fastest-growing coding agent harness for open models. 3rd largest by usage. Command Code is built around two ideas: 1. open models should be production-grade for coding. 2. your coding agent should learn your taste. we're building for taste and developer experience. so instead of making a soup of thousands of models, we build for the best ones, open or closed. the goal: a coding agent that feels like an iphone, opinionated and with taste, not a random android or a windows phone with no taste. on the first idea: open models. we fixed the "open models aren't good enough at tool calling" problem. our research came down to two things, quality and speed, and both trace back to one root cause: broken tool-calls that open models produce, especially when you use a bad harness. open-model tool-call failures are not deep, they are a small finite set of contract mismatches. so we repair them, with zero token loss. what started as 4 repairs is now the largest repair layer in the space: 36k tool-call fix variants. i wrote the idea up openly¹ a few weeks ago, and it has quietly become a de facto way people fix open models. developers have either adopted Command Code or used the same idea to build repair harnesses for nearly every top coding agent. i take that as more meaningful validation than anything we could say about ourselves. on the second idea: taste. Command Code builds your coding taste into skills, learned from your accepts, rejects, edits, prompts, and the corrections you repeat. over time it drifts away from generic code and toward how you actually ship code. it learns continuously, and while it is early, the direction feels right. net effect: developers using Command are writing production-quality code on open models, 10x to 100x cheaper, without fighting tool calls, while building repo and team-wide coding taste that compounds. i believe these numbers are a consequence of getting those two things right. what's next. we've applied the same repair idea to ai design slop, and bundled a /design capability² so every developer can level up their design work. the early response has been great. we have a big roadmap ahead of us. the feedback we hear most is that Command Code feels fundamentally different: an approach built on taste and repair. we're going open source next month. today we're a cli at the core, and we're also launching a full-fledged gui app, sandboxed background agents, and cooking up something fun i can't wait to share. we're growing too, hiring in sf and remote worldwide. check open roles on my profile bio. try it now. npm i -g command-code if you like engineering deep dives on how we're doing all this, i've linked some relevant posts below.

Por $60 dólares mensais você roda um LLM do nível do Opus 4.5 sozinho. Sem limite de tokens, sem cota, sem nerfarem seu modelo. Opensource. Esse modelo aqui: huggingface.co/unsloth/Qwen3.…