Find

bugs

that cost you the most

Preventative maintenance for code. LogicStar monitors your app to find, investigate, and resolve bugs that matter, before they become incidents

Trusted By Industry Giants

Surface bugs that put revenue at risk

Your Logs, Observability, and Customer Support tools already contain all the data. LogicStar connects the dots to surface the code defects and vulnerabilities worth fixing.

Your everyday signals hide real bugs

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.

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.

Every bug traced to its root cause

LogicStar monitors your code for defects and traces every error to its root cause, documenting the full path from symptom to source and mapping which services and customers are affected.

We surface the bugs hiding in your data

Connect your existing source control, observability, and work tracking tools. LogicStar does the rest. You get fully investigated bugs with root cause, evidence, proposed fix, and owner, right in your Slack.

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 before the alerts pile up

LogicStar continuously monitors your code and builds a living map of defects and their dependencies. You get code improvements right where it matters the most and avoid complex incidents and post-mortems.

Code Map Graphic — LogicStar

Cut the noise, find what matters

LogicStar matches alerts against known code defects and filters out noise that other tools can't. Get full context and a proposed fix, before your customers notice.

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 and confirm its resolution so your team can review and merge them in minutes.

Context is not understanding

Plugging more tools into an LLM agent fills its context. LogicStar's static and dynamic analysis gives it real understanding: architecture, data flows, and what pains your customers hit. That's why our agents lead on real-world benchmarks, not just demos.

Built on research, not assumptions

We publish the leading benchmarks for AI coding agents. That same expertise drives our internal evaluations, so LogicStar keeps getting better where it counts.

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.

The LogicStar team combines deep technical expertise with a proven record of impact in autonomous AI and software maintenance. Our founders created DeepCode, used by over 3 million developers worldwide, and after its acquisition by Snyk, the technology now powers more than $100M in annual revenue. Backed by leading AI researchers from ETH Zurich, MIT, and INSAIT, we bring cutting-edge AI research into production. With LogicStar, we are pioneering self-healing applications that autonomously fix real software bugs, reduce mean time to resolution by 95%, and deliver production-ready pull requests with full validation.

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.

LogicStar AI founded by experts behind DeepCode and Snyk, trusted by enterprise engineering teamsLogicStar AI team from diverse backgrounds bonding over cooking, fostering inclusion and collaboration while building autonomous AI solutionsThe LogicStar team combines deep technical expertise with a proven record of impact in autonomous AI and software maintenance. Our founders created DeepCode, used by over 3 million developers worldwide, and after its acquisition by Snyk, the technology now powers more than $100M in annual revenue. Backed by leading AI researchers from ETH Zurich, MIT, and INSAIT, we bring cutting-edge AI research into production. With LogicStar, we are pioneering self-healing applications that autonomously fix real software bugs, reduce mean time to resolution by 95%, and deliver production-ready pull requests with full validation.

AI That Fixes Code.

March 9, 2026
Beyond SWE-bench: The Hardest Problem in AI Software Engineering Isn’t Writing Code

Coding agents can write code. But can they decide what actually matters in large software systems? We explore why the next generation of AI software tools must move beyond patch generation toward architectural judgment.

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February 2, 2026
SWE-Star: Best-in-Class Agentic Coding Models

We scale distillation of Agentic Coding Capabilities efficiently, to train a family of best-in-class coding models.

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November 21, 2025
How LogicStar Autonomously Finds and Fixes A Real Bug in Our Production Code

LogicStar Autonomously Finds and Fixes A Real Bug in Our Production Code

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November 17, 2025
Closing the Agentic Coding Loop with Self-Healing Software

AI coding agents accelerate development but also drive up complexity and technical debt, causing early productivity gains to fade. Self-Healing Software closes this gap by automatically detecting and fixing issues as fast as new code is generated. LogicStar provides this capability, keeping codebases healthy and velocity sustainable.

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September 26, 2025
How We Made SWE-Bench 50x Smaller

We optimized the OCI layer structure of code execution environments to improve storage and distribution at scale

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September 16, 2025
SWE-Bench Verified – Best Fix Generation at 76.8%

The L* agent achieves state-of-the-art results on SWE-Bench Verified using an ensemble of cheap agents and strong validation

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September 10, 2025
SWT-Bench Verified – Best Test Generation at 84%

The L* Agent achieves a new state-of-the-art of 84% on SWT-Bench Verified

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March 3, 2025
ETH AI Center Affiliation

LogicStar AI Joins the ETH AI Center as an Affiliate! 🚀

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February 24, 2025
Introducing BaxBench

BaxBench: Can LLMs Generate Secure and Correct Backends?

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February 4, 2025
TechCrunch Article About LogicStar

A TechCrunch article about us titled LogicStar is building AI agents for app maintenance

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December 18, 2024
Introducing the SWT-Bench Leaderboard!

SWT-Bench Benchmarking CodeAgents' Test Generation Capabilities

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December 5, 2024
Agentic AI from INSAIT and ETH Zurich

INSAIT and ETH Zurich Entrepreneurs launch LogicStar AI, a new Agentic AI startup

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October 17, 2024
SWT-Bench

A Benchmark for Testing and Validating Bugfixes

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July 1, 2024
LogicStar AI raised a $3m round led by Northzone

LogicStar, building the AI agent for fully autonomous application maintenance, raised a $3m round led by Northzone.

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July 1, 2024
Jobs

We are looking for passionate software engineers to join our team

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April 11, 2024
Introducing LogicStar

We are excited to announce the launch of LogicStar AI, our startup to revolutionize application monitoring.

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

Stop Investigating

Start Fixing

Try LogicStar for free. Connect your tools, and start getting
fully investigated bugs with fix proposals.

No workflow changes, no risky AI guesses. Just the bugs that matter, ready to fix.

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