Find
bugs
that cost you the most
Find what matters, before it becomes an incident.
The priority layer for your software:
5 bugs · $291K ARR at risk today
Trusted By Industry Giants
Your systems already contain the signals
LogicStar turns them into a clear priority of what to fix next.
Which bugs affect customers, which ones threaten revenue, and what to fix next.
Your everyday signals already show what will break
A customer reports being charged twice. Sentry shows a spike in payment retries that nobody noticed. LogicStar traces both to a race condition in your checkout flow: when a request times out, the retry logic doesn't check whether the first charge succeeded.
LogicStar connects these weak signals and turns them into clear priorities your team can act on.
Prioritize business impact, not severity
A P1 in dead code doesn't matter.
A P3 in your highest-revenue checkout flow does.
LogicStar connects each defect to the customers it affects, the features they depend on, and the revenue at stake, so your team fixes what matters to the business.
This becomes your daily priority queue. Every day, your team gets a clear priority of what to fix next. Not a list of bugs. A ranked priority.
Every prioritized bug is traced to its root cause
Each prioritized bug is fully investigated, not just detected.
LogicStar traces every issue from signal to source:
• correlates errors, tickets, and code paths
• identifies the exact root cause in code
• maps affected services and customers
• quantifies real impact, including ARR at risk
From signals to priorities, in one system
Connect your existing tools.
• Production signals, tickets, and code are connected
• Real defects are identified, not isolated alerts
• Bugs are ranked by customer and revenue impact
• Validated fixes are ready for your team
First results within ~1 hour.
Find bugs before your customers do
Over 90% of incidents had early warning signals; alerts and warnings that were dismissed because nobody connected them to what was actually breaking. LogicStar does.
Learn what is wrong
LogicStar continuously monitors your code and builds a living map of defects and their dependencies.
Focus your team on what matters, not what is noisy and avoid complex incidents and post-mortems.
Cut the noise, find what matters
Most signals do not matter. LogicStar filters noise and produces:
• a clear priority queue
• real impact
• immediate next actions
Not alerts. Decisions.
Fix bugs before they become incidents
Bugs don't start as incidents. They start as warnings nobody had time to investigate. LogicStar cuts through the noise and proposes a validated fix.
Fixes your team can trust and verify
LogicStar proposes minimal fixes validated by tests that:
• reproduce the bug
• confirm the resolution
Every fix includes:
• root cause
• full context
• verified tests
Fix what matters first, with confidence.
Review and merge in minutes.
Context is not understanding
Plugging more tools into an LLM agent, like Claude Code, fills its context.
It does not create understanding.
LogicStar combines:
• static and dynamic analysis of your codebase
• production signals, including weak signals before alerts
• customer impact and usage patterns
This builds a system-level understanding of architecture, data flows, where issues originate and what they impact.
So we don’t just generate fixes. We decide what matters.
Built on research, not assumptions
Proven on real-world systems, we publish the leading benchmarks for AI coding agents. That same expertise drives our internal evaluations, so LogicStar keeps getting better as models evolve.
84%
validating tests generated
LogicStar reproduces every bug with a failing test that proves it's real and validates fixes actually resolve them. State-of-the-art performance on SWT-Bench Verified.
60%
overestimation of success rate in SWE-Bench Verified
Many AI coding agents overfit to a single benchmark. We automatically create new benchmarks for every use-case and show popular code agents lose up to 60% of performance on an application focused benchmark of 366 diverse codebases.
33%
of working AI-generated code is exploitable
Even frontier models produce exploitable backends. Across 392 tasks, one in three working solutions contains SQL injection, path traversal, or code injection vulnerabilities.
+20%
cost increase, zero performance gain
Over 60,000 repos include AGENTS.md files to guide AI agents. Our evaluation shows these files reduce success rates by up to 3% while adding 20% to inference costs.
63%
of AI refactoring attempts break code
AI agents solve only 22% of multi-file refactoring tasks and introduce breakage in 63% of attempts. CodeTaste measures whether AI restructures code the way a senior engineer would.
Built By AI Experts That Lead The Way.
Our team consists of leading researchers and entrepeneurs from ETH, MIT, and INSAIT, including the people behind Snyk Code and DeepCode.ai, trusted by 3M developers.
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AI That Fixes Code.
Stop guessing what to fix
Start fixing what matters
LogicStar shows the bugs impacting customers and revenue, ranked and ready to act on.
No workflow changes. Results in ~1 hour.
