March 3, 2025 / 1 min read
We’re excited to announce that LogicStar AI has officially joined the ETH Zurich AI Center as an affiliate member🎉! This partnership is a significant milestone for us, especially since many of our team members have deep roots in AI research at ETH.
As a pioneering AI company focused on autonomous software maintenance, this collaboration strengthens our commitment to advancing AI research and innovation. Partnering with one of the world’s leading AI research hubs at ETH Zurich will accelerate our efforts in building cutting-edge AI agents that autonomously detect, reproduce, and fix software bugs-transforming the way engineers maintain commercial applications. At LogicStar we harness AI along classical computer science to empower engineering teams and AI agents to autonomously maintain commercial applications, enabling faster resolution of issues and empowering engineering teams to focus on innovation by automating tedious application maintenance tasks.
This partnership marks a major milestone in our mission to revolutionize software reliability. We’re excited about the journey ahead and look forward to working with ETH Zurich’s brilliant minds to make AI a seamless, dependable partner for engineering teams.
As AI is central to our mission, we are at the forefront of AI research and innovation. Being affiliated with the ETH Zurich AI Center allows us to do just that. We’re excited to collaborate as we advance the field of agentic AI for application maintenance together!
Blog
A coding agent can turn a ticket into a green pull request in minutes. We split the merge decision into narrow checks, let fixed rules decide, set the strictness by the blast radius of a change, and bring in a person only where the agent gets stuck.
We ran three coding agents through four gateways to see what a gateway controls, what it measures correctly and where it misleads you, from budgets that overshoot to telemetry that leaks prompts and data residency set hop by hop.
We compared a stronger model, a different agent, answers from the author and a read-only investigation before any code. On 19 fresh tickets, the investigation went ahead on 9 of 10 wanted changes and held back 7 of 9 requests an author had already declined.
With the team behind the first AI for code.
Backed by frontier coding agent research with ETH Zurich.
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