Autonomous Bug Fixing Through AI Agents That Detect, Reproduce, and Repair

What if your software could fix its own bugs—before anyone even notices them? In this session, LogicStar co-founder Boris Paskalev shares how self-healing applications are becoming a reality—fixing bugs automatically, before they reach production or immediately after an issue is detected/reported. LogicStar combines classical computer science, deep tech research from the pioneers of “AI for Code” and Agentic AI to detect, reproduce, and fix real production issues with validated, test-backed pull requests. This session is for engineering leaders, PMs, and AI builders ready to rethink the boundaries of autonomy in software delivery.

Related Talks

Why local AWS environments are faster, easier, & more efficient

So many of the challenges that slow down software development stem from the fact that early-stage dev & test cycles are performed in cloud environments.

Local cloud development removes these challenges.

By simulating AWS application behavior in a local container, the local cloud enables developers and agents to validate the security, quality, and reliability of their applications faster and more effectively than they can on the cloud.

Learn More
Learn More
Introducing lstk: The New LocalStack CLI

Silvio and Carole introduce lstk, LocalStack's next-generation CLI built from scratch in Go. They explain why the team rebuilt the CLI, walk through its key features — zero-config startup, seamless browser-based authentication, and a rich interactive TUI that surfaces real-time progress and actionable errors — and demo how lstk gets you from install to a running emulator in seconds. They also dive into the architecture behind lstk and how it is designed to support multiple emulators, flexible runtimes, and deep integrations with CI pipelines and IDEs.

Learn More
Learn More
Simulate Microservices, Cloud Services, and Everything Else with WireMock

Cloud-first development kills your inner dev loop. There's a better way. TypeDB on AWS is powerful — Lambda functions querying complex relationship hierarchies, recursive schema functions resolving transitive memberships, all without application logic. But iterating on schemas and queries in the cloud is slow and expensive. Harsh Mishra introduces the TypeDB extension for LocalStack: run a fully functional TypeDB server inside your local AWS environment and connect your app exactly as you would in production. Faster iteration, zero unnecessary spend.

Learn More
Learn More

Launch yourself in the world of local cloud development

Try for free
Try for free
Talk to Sales
Talk to Sales