📣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: https://t.co/bEsu3EX9iR
We are excited to be part of the inaugural cohort of the National GRIP Programme in Singapore (https://t.co/DMVGkzdrQp), organized by NRF, NUS, and NTU.
#AutoCodeRover#Singapore#National#GRIP
Our latest experiments using AutoCodeRover-v2 achieves 46.2% pass@1 on SWE-Bench Verified, 37.33% on SWE-Bench Lite and 24.89% on SWE-Bench Full.
Free Trial: https://t.co/2xYkXLzF3E
GitHub: https://t.co/MS97tokBmY
#AutoCodeRover#AI4SE#AIDevAssistant
Our latest experiments using AutoCodeRover-v2 achieves 46.2% pass@1 on SWE-Bench Verified, 37.33% on SWE-Bench Lite and 24.89% on SWE-Bench Full.
Free Trial: https://t.co/2xYkXLzF3E
GitHub: https://t.co/MS97tokBmY
#AutoCodeRover#AI4SE#AIDevAssistant
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: https://t.co/RrDB99O4AF
#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 https://t.co/BUSnTRK5Qe
#AutoCodeRover#OpenSource
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: https://t.co/OGb5oKyKDK.
And stay tuned for access in 45 days!
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: https://t.co/OGb5oKyKDK
1/2
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