Tried Google Sheets. Notion. Slack canvases.
Nothing worked.
so, vibe-coded a performance tracker agent using โ Command .new by Langbase.
Got inspired by @itsthatladydev whoโs building one herself.
Loved the idea โ so I built mine with AI.
Qwen 3.7 max is now free in Command Code!!
for all subscribers for $1 Go plan or Pro/Max.
starting now, for next three days, till capacity lasts.
npm i -g command-code
cmd
/model
Qwen 3.7 Max (FREE)
Have at it y'all!!
# (or `cmdc` on windows)
cmd update
Let's go! ๐
3/ The pace in tech, especially startup life and SF culture, is fast. There's always another launch, another release, another goal.
Take the vacation. Touch grass. Spend time with people you care about.
Build because you love it, not because you feel obligated to.
2/ For many of us in tech, building started as a hobby before it became a career. We code because we enjoy creating things.
The laptop isn't always a work tool, sometimes it's just the fastest way to scratch an itch.
That said, don't forget yourself.
It turns out that if you fix tool calling and add a taste layer on top of open models, you can get really good performance for very low cost.
@CommandCodeAI is how you do it.
Save money. Code more. I predict we'll all be using open models before long.
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 openlyยน 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 capabilityยฒ 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.
@MrAhmadAwais@CommandCodeAI i've worked with almost all the coding agents and can say this from my experience that Command Code beats them all. happy to be part of the best coding harness team. ๐ฏ
Command Code is the frontier coding agent.
Ships. Fixes. Tests. Refactors. Learns you, all the while.
The agent learns:
- your patterns,
- your workflows,
- your structure,
- your coding preferences.
what a day. we broke 100 billion tokens!
Command Code was 3rd & 6th most used coding agentยน this week and probably the most used coding harness in the world for deepseek v4 models.
i can literally load complete docs and full dependency's code before writing a single line with 1M context on deepseek. flash is ~100x cheaper than the alternatives, and at this context size it holds up shockingly well.
also, our $1/mo Go plan has made ai coding with open models accessible everywhere in the world, esp outside the bubble. a billion tokens of deepseek flash for $1 is a bit unbelievable too.
ยน ranked against agents on openrouter. p.s. we're not on openrouter, we use 12 other providers.
Claude Code or Codex is not for open source models
Seriously. Read this.
$1.
Thatโs all it took to make DeepSeek + Kimi K2.6 beat Claude Opus 4.7.
This isnโt a model breakthrough. Itโs a harness fix.
@CommandCodeAI is a coding agent harness for both open and closed models.
eng notes on our harness engineering below.