Blinky is an intelligent debugging assistant designed to enhance the software development process. Its core functionality includes real-time code analysis, bug detection, and suggesting immediate fixes to streamline the debugging workflow. By utilizing advanced AI techniques, Blinky not only surfaces potential errors but also offers contextual solutions, helping developers to learn and improve their coding practices. It integrates seamlessly with various development environments, making it a valuable tool for both novice and experienced programmers seeking to enhance their productivity.

Capture is a tiny browser widget that automates the process of bug reporting. It collects and auto-generates all the necessary technical details, screenshots, and summaries, eliminating the need for tedious manual reporting steps. Integrated with tools like Linear, Slack, and Trello, it turns website feedback into actionable tickets, making debugging faster and more efficient.

Producta is an AI-powered tool designed to streamline the software development process by automating the handling of technical tickets. It uses large language models (LLMs) to validate tasks, plan work, generate solutions, and test them. By integrating with your issue tracker, Producta ensures that your tickets are clearly defined and accurately addressed. This minimizes the time spent on corrections and maximizes productivity. Whether you're creating new tasks from ideas or solving existing ones, Producta offers a hands-free approach to managing your development workflow.

SWE-agent is a developer-focused AI agent framework that integrates with GitHub to autonomously diagnose and resolve code issues. It runs in Docker or GitHub Codespaces, uses your preferred language model, and allows you to configure tool bundles for tasks like linting, testing, and deployment. SWE-agent generates clear action trajectories, applies pull requests with fixes, and provides insights via its trajectory inspector, enabling teams to automate code review, bug fixing, and repository cleanup efficiently.