Question: I'm looking for a solution that automates problem detection and provides actionable insights to improve software quality.

If you need a tool that will find problems automatically and offer you insights to improve software quality, Metabob is worth a look. Metabob uses AI to help with code review, refactoring and debugging, employing graph neural networks and generative AI to spot and correct complex coding problems. It also offers AI code review, software security scanning and integration with common development tools, so it can be used to maintain legacy code and analyze new code.

Another option is Typo, an integrated platform that offers real-time visibility into development roadblocks and automated code reviews. Typo integrates with a variety of engineering tools to offer real-time visibility into development metrics and deployments. It offers SDLC visibility, AI-driven code analysis and a research-backed framework to measure and improve developer experience objectively, so it's well suited to high-performing engineering teams.

For AI-powered technical support, Record is designed to help you fix problems by automating the understanding of user experience problems. It captures data from user sessions, recordings, network requests and frontend errors, then uses AI to identify problems and suggest fixes. The tool integrates with common support tools like Zendesk, Intercom and Jira, offering you actionable insights to speed up the support process.

Last, Octomind is for end-to-end testing of web applications. It automates test discovery, generation and execution, and even auto-fixes test code. With features like auto-discovery of critical user flows and high-performance hosting, Octomind ensures robust and efficient CI/CD pipelines, integrating with frameworks like GitHub, Azure and Jenkins.