You have questions. We have the fixes

Understanding our SOTA performance on benchmarks like SWE-Bench and SWT-Bench.

What does LogicStar actually do?

LogicStar identifies what matters in your system.
It prioritizes the bugs that impact customers and revenue, investigates them fully, and delivers validated fixes as ready-to-merge pull requests.

What does LogicStar show me on day one?

Within the first hour, LogicStar shows a small set of prioritized bugs, typically the top 5, ranked by customer impact and ARR at risk.
Each includes root cause, affected users, and a validated fix proposal.

How does LogicStar decide what to fix next?

LogicStar produces a clear priority of what to fix next, based on business impact rather than severity.
It combines production signals, customer reports, and code analysis to determine:
how many users are affectedhow critical the feature ishow often the issue occursThis ensures your team focuses on the bugs that matter most.

How is LogicStar different from observability or APM tools?

Observability tools show what is happening in your system.
LogicStar identifies why it is happening, traces issues to their root cause in the code, and proposes validated fixes.
It turns signals into actionable engineering work.
LogicStar adds a priority layer on top of these signals.

How is LogicStar different from Copilot, ChatGPT, or Claude Code?

Copilot, ChatGPT, and Claude Code help developers write and modify code based on prompts.
LogicStar works at the system level. It analyzes production signals, your full codebase, and real usage to identify what actually matters and prioritize the bugs impacting customers and revenue.
Instead of relying on prompt-time context, LogicStar uses a structured, system-wide process to investigate issues, trace them to their root cause, and propose validated fixes.
LogicStar provides a structured handoff, enabling these tools to implement fixes with full context, without repeated prompting or guesswork.

Does LogicStar replace GitHub PR review tools?

No. PR review tools analyze code changes in isolation and help enforce code quality and conventions by focusing on individual code changes.
LogicStar operates at the system level. It uses production signals and full application context to identify what actually needs to be fixed and traces issues back to their root cause.
In practice, LogicStar ensures your team works on the highest-impact problems first, while PR review tools ensure the fixes are implemented correctly.

How does LogicStar identify what matters?

LogicStar correlates signals across your systems to identify which issues matter and are worth fixing.
By combining these signals with code analysis, it identifies which issues are real, reproducible, and worth fixing.

How does LogicStar avoid hallucinated or incorrect fixes?

LogicStar only proposes fixes it can validate.
Each issue is reproduced with tests, and every fix must pass those tests along with relevant existing tests. If the system cannot confirm the fix, it does not create a pull request.
Only validated fixes for prioritized issues are proposed.

Will LogicStar change my code without approval?

No. Every proposed change is delivered as a pull request.
Your team reviews and decides whether to merge, maintaining full control over the codebase.

What types of bugs can LogicStar fix today?

LogicStar focuses on backend and system-level issues such as:
logical errorsAPI misusemissing validationsinconsistent state handlingmany classes of security vulnerabilitiesIt is most effective on issues that can be reproduced and validated.

What types of bugs are not a good fit yet?

LogicStar is less suited for:
visual or UI-related issuesfront-end rendering problemscertain distributed system edge cases that are difficult to reproduce deterministicallyThese typically require human interaction or external context.

How does LogicStar integrate with my workflow?

LogicStar connects to your existing tools, including:
GitHub or GitLabobservability platforms like Sentry or Datadogissue trackers such as Jira or LinearIt delivers results as standard pull requests, so your team can work within familiar workflows.

How long does it take to get started?

Setup typically takes a few minutes, and most teams start seeing high-impact issues within hours.
No new instrumentation or major changes to your codebase are required.

What level of test coverage is required?

LogicStar works with your existing test suite.
Higher coverage increases the range of issues that can be validated, but LogicStar can also generate additional tests when needed to reproduce and verify issues.

What happens if LogicStar cannot fix an issue?

If LogicStar cannot confidently reproduce or validate an issue, it abstains.
Your team only receives fixes that are backed by evidence and passing tests.

How much time can this save my team?

LogicStar removes most of the time spent deciding what to fix, triaging issues, and investigating root causes.
Teams can focus directly on reviewing and merging fixes instead of investigating issues.

LogicStar AI logo – autonomous software maintenance and self-healing applications

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.

Screenshot of LogicStar generating production-ready pull requests with 100 percent test coverage, static analysis, and regression validationScreenshot of LogicStar generating production-ready pull requests with 100 percent test coverage, static analysis, and regression validation