If you're looking for platforms that generate detailed project requirements and lower software defects, Crowdbotics is a good option. This AI-based service helps developers build apps faster and more securely by automating code reuse. It begins with the requirements definition phase, using AI to generate detailed Product Requirements Documents and identify reusable code modules. That can cut the time and effort needed to build software so developers can concentrate on differentiating features.
Another good option is QA.tech, an AI-based self-service QA testing service. It crawls web applications, runs tests and generates detailed bug reports to ensure software quality. QA.tech automates testing so developers don't have to spend as much time on the drudgery and so you can ensure your apps are working as intended. It's a good fit for SaaS companies that have to test many user flows and scenarios, which can help cut revenue lost to bugs and provide a better user experience.
For those trying to improve code security and quality, Metabob offers an AI-based coding assistant. It combines graph-attention networks and generative AI for code review, refactoring and debugging. Metabob can identify and correct complex coding problems across codebases, making it a good option for maintaining legacy code, analyzing new code and verifying AI-generated code.
Last, Userdoc is an AI-based requirements management service that helps teams scope software projects more effectively. It includes features like an AI Project Wizard, automated generation of detailed user stories and acceptance criteria, and system integration with project management tools. Userdoc helps convert requirements into long-lived documentation that can be used for feature definition, testing and compliance work.