From bug report to production-ready pull request - autonomously generated, rigorously validated, and fully explainable before developers even get involved.
Engineering teams spend up to 40% of their time fixing bugs - much of it lost in manual triage, slow investigation, and reproduction. This work is reactive, repetitive, and constantly drags attention away from roadmap priorities. AI co-development tools like Copilot and Cursor assist with writing code, but they still require engineers to prompt, guide, and evaluate outputs at every step - leaving the core debugging and validation workload untouched. LogicStar AI changes that - it autonomously handles the full bug-fixing flow, from report to validated PR, before your team even gets involved.
Read MoreBuilt for autonomy, trust, and real results - not just code suggestions.
LogicStar doesn't even need to show how you can fix a bug. Just pinpointing the exact location of the bug already saves a lot of time.
Ori D.
If I don’t know which 30% of the AI generated suggestions actually work, I still need to test 100% of them which is like reading other people's code all the time and no one likes that. LogicStar removes the wrong AI suggestions for me.
Nils W.
Engineers often face frustration navigating the multiple combinations of inputs needed to reproduce an issue. I appreciate how LogicStar proposes to simplify the challenging task of reproducing issues, saving valuable time in MTTR.
Sam R.
...having 20 things that we can’t fix automatically is a bunch of noise, having 1 proposed solution that appears to fix something is much more interesting
Timoty J.
LogicStar AI Successfully Completes SOC 2 Audit
LogicStar AI Joins the ETH AI Center as an Affiliate! 🚀
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