LogicStar, a Swiss startup, is stepping into the AI landscape with a $3 million pre-seed funding round to tackle a critical challenge in software development—autonomous app maintenance. Instead of focusing on AI-driven code generation, the startup aims to refine and sustain software by detecting and resolving bugs without human intervention. By leveraging large language models like OpenAI’s GPT and DeepSeek, LogicStar’s AI agents analyze applications using classical computer science methods, creating a structured knowledge base to pinpoint and address issues efficiently. Through a test-driven approach, these agents simulate failures, test multiple solutions, and deliver reliable fixes—ensuring smoother operations for businesses. Targeting enterprises, the platform is designed to work alongside development teams, reducing the need for manual debugging and enabling engineers to focus on more complex tasks. Initially supporting Python, with expansions to JavaScript and Java in the pipeline, LogicStar is positioning itself as a game-changer in software maintenance. With backing from investors including Northzone, DeepMind, and Sequoia scouts, the company is preparing for a beta release, promising to reshape how applications are maintained in the AI era.
