LogicStar

Fixing Bugs Shouldn’t Steal Your Engineers’ Time

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.

How LogicStar AI is Different

Built for autonomy, trust, and real results - not just code suggestions.

Works Autonomously - No Prompting Required

While tools like Copilot or Cursor assist developers as they code, LogicStar acts before anyone even opens the IDE.

No manual prompting or guidance
Investigates and fixes bugs end-to-end
Produces PRs - not snippets.

Cutting-Edge Research Meets Real-World Impact

Built by the creators of Snyk Code and DeepCode, combining world-class research, open-source leadership, and deep AI expertise - backed by top-tier investors and advisors.

Proven at Scale – Built tech powering 3M+ developers and $100M+ ARR at Snyk
Elite Backing – Funded by Northzone and leaders from Google DeepMind, Spotify, and Snyk
Research-Driven, 350+ papers, 20K+ citations, ETH/MIT/INSAIT

Deep Application Understanding via Multi-Agent AI + Classical Methods

A network of specialized AI agents that combine LLMs with semantic code analysis and program reasoning builds a structured, end-to-end representation of your application.

Mock Execution Environment for Reliable Bug Reproduction
Systematic Fix Validation at Scale
Benchmark-led evolution, built into the platform

Enterprise-Ready by Design

LogicStar was built for production systems from day one.

Runs in your VPC - no data leaves your perimeter
SOC 2 compliant
Never trains on your code

What Experts Are Saying.

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