You have questions. We have the fixes
Understanding our SOTA performance on benchmarks like SWE-Bench and SWT-Bench.
Understanding our SOTA performance on benchmarks like SWE-Bench and SWT-Bench.
A project is one connected codebase or a logical part of a larger codebase monitored by LogicStar.
For monorepos, a project typically represents a service or ownership area within the system, not the entire repository.
We support Python, Java, JavaScript, TypeScript, Go, C++, and Terraform. New languages are added rapidly based on your request, so share your needs with us at support@logicstar.ai
LogicStar analyzes signals across your systems and correlates them to identify real defects, then ranks bugs based on business impact, affected users, and recurrence.
Instead of severity alone, bugs are prioritized by what actually impacts customers and revenue.
LogicStar analyzes signals from your existing tools, including observability platforms (such as Sentry or Datadog), issue trackers (Jira, Linear), source control (Git), communication tools (Slack), and customer reports.
It connects these signals to surface and investigate the bugs that matter most.
LogicStar generates validated pull requests with proposed fixes, tests, and reproduction steps based on fully investigated bugs.
Fixes are created in a secure execution environment where LogicStar reproduces and validates the issue before proposing changes, with optional human approval or fully autonomous workflows.
Yes. You can upgrade your plan at any time as your usage grows.
Upgrades take effect immediately, and Enterprise plans can be tailored to your scale, integrations, and deployment requirements.
LogicStar connects to your existing tools and starts surfacing high-impact bugs within hours, without requiring new instrumentation or changes to your codebase.
Join the beta and let LogicStar AI clear your backlog while your team stays focused on what matters.
No workflow changes and no risky AI guesses. Only validated fixes you can trust.

