📣Big news! We’re excited to share that AutoCodeRover has been acquired by @SonarSource 🎉. Bringing our sophisticated AI agent platform into the Sonar solution, we’ll help redefine the SDLC, supercharging developers to build better, faster.
More here: bit.ly/3X9UT3H
Thrilled to announce our latest development, bringing effortless automation to software development. You can seamlessly invoke AutoCodeRover directly within GitHub issues and generate software patches.
Learn More: medium.com/@autocoderover/f0…#AI#Autonomous#Engineering
🚀 Releasing AutoCodeRover-v2 (v20240620)! 🚀
We’re excited to release AutoCodeRover-v2, which is now more capable and open-source! Our source code is now open for non-commercial use. You can apply for access today at autocoderover.dev/#applicati…#AutoCodeRover#OpenSource
Beyond efficacy - AutoCodeRover-v2 is here!
Augmenting AutoCodeRover with specification inference, AutoCodeRover-v2 resolves 31% of SWE-Bench lite & 19.31% of SWE-Bench, with a modest cost of ~$0.7 per task & to be open-source!
Find out on arXiv: arxiv.org/abs/2408.02232
1/2
On top of efficacy, we focus on precision - not proposing false patches to the user.
AutoCodeRover-v2 is more precise than other open-source agents by filtering out incorrect patches using a reviewer agent!
arXiv: arxiv.org/abs/2408.02232.
And stay tuned for access in 45 days!
The latest version of AutoCodeRover (using GPT-4o) resolves 30.67% of the tasks (pass @1) in SWE-bench Lite. Achieving this efficacy while economical with only 0.12m tokens costing $0.7 per task and completing each task within 7 mins.
#AutoCodeRover#AISE#AIDeveloper#SWEBench