Kilo Code for VS Code
OSS AI coding assistant for planning, building & fixing code
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Open Source AI coding assistant for planning, building, and fixing code. We're a superset of Roo, Cline, and our own features. Follow us: kilocode.ai/social
Kilo Code for VS Code
Hey PH!
It’s clear that the closer we’re getting to AGI, the closer we’re getting to a future where all humans are shaping our digital worlds directly. Gone are the days of thinking of code line by line, we’ll have AI agents producing code “by the kilo”. With Kilo Code, we’re humbly throwing our hat in the ring with a new AI agent.
There are already a million AI agent companies out there, why another one? Simple: we’re an impatient bunch. We believe that by an extreme focus on speed (speed of building features, speed of growing our team, speed of experimentation, speed of the product itself), we can quickly add value.
We’ve been living this extreme focus on speed already:
Two weeks ago, I dropped everything in my life to build the first version.
By now we’ve assembled a team of 10.
Day one, we forked the Roo Code VSCode extension (which itself is a fork of Cline).
Since then, we shipped 10 small improvements.
Made the home page of hacker news.
By tomorrow, we’ll have fixed two of your requests.
Next week, we’ll do 10 more improvements.
The goal is to create the most user-friendly AI coding agent, as quickly as possible.
Most importantly, we want to build this with you. We would love your continuous feedback (here but also on Github and Discord), and we have a free tier (with $20 in free tokens!) in order to thank you—and for the best feedback we’ll give out more free tokens.
Check the homepage for up to date information on how to get access to the free tier.
50+ Contract Templates by Clientjoy
All the best for the launch @juice10 & team!
Kilo Code for VS Code
Thank you @parekh_tanmay !
ColorHub
Love this, Justin! The fact you're prioritising speed is a big plus in my book. This is going to be really useful for a lot of devs!
Kilo Code for VS Code
Thank you @danielcranney! We are doing our best to get all the fastest models integrated so we can get a quick feedback loop.