
An agent will write you a CDK stack, a Terraform module, or a stack of IAM policies in seconds.
Whether any of it works is a separate question, and the usual way to find out is to deploy to a real AWS account and watch what breaks.
In an agentic workflow, that means giving AI access to a public cloud account, racking up costs on the AWS bill, and waiting for provisioning to complete every time you push new code to the environment.

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.

Modern software systems operate in complex, dynamic environments where failures are inevitable. Traditional monitoring and manual incident response are no longer sufficient to ensure resilience or customer satisfaction. This talk explores how to design and implement self-healing software systems by combining telemetry data with an AI-driven agentic approach. We’ll start by examining how high-quality telemetry forms the foundation for detecting anomalies and predicting failures. Next, we’ll show how modern GenAI (LLMs) can transform this telemetry into actionable insights for AI agents that interpret data, pinpoint root causes, and apply automated fixes. Through a practical, real-world example, you’ll see how telemetry and AI work together to create adaptive feedback loops that continuously improve system reliability, while freeing engineers from repetitive operational tasks.

LocalStack’s core cloud emulator allows us to run our own cloud application - including its infrastructure - locally, which provides an efficient developer experience at the start of the entire software development lifecycle (SDLC). This experience enables us to build our product features in a way that closely matches what our customers are looking for — a comprehensive developer platform that facilitates local multi-cloud development across different providers and services. In this session from LocalStack Community Meetup April '24, Lukas Pichler showcases how to use the LocalStack core cloud emulator and other novel solutions, to build, test, and integrate new features in our LocalStack Web Application. He covers an application overview, how we enable local cloud development, how we use LocalStack in CI, and how we use LocalStack to enable application previews and E2E testing.