Pie is an automated quality assurance and code-maintenance tool designed for software development teams aiming to maintain high engineering standards without slowing down their release cycles. Acting as an autonomous quality layer, the platform continuously monitors every code change pushed by a development team. Once a change is detected, Pie automatically identifies and tests the affected user flows directly on the live product, eliminating the need for developers to write and maintain complex manual test scripts. When the system detects a regression or a broken flow, it goes beyond merely reporting the issue; it proactively generates and opens pull requests with the necessary code fixes. By automating the entire cycle of regression detection, test execution, and bug resolution, Pie helps engineering teams minimize technical debt and eliminate manual testing bottlenecks. This allows developers to focus on building new features with the confidence that their existing application flows remain stable and functional.
Problem: Refactored payment systems can break the main checkout funnel without flagging errors in standard static code reviews.
Solution: This system logs onto staging, acts like a client purchasing items, and reports when buttons are disabled or slow.
Example: An engineer receives an automated alert showing that a checkout flow discount coupon broke after a minor patch update.
Problem: Development teams waste valuable hours finding the root causes of visual user-flow regressions in production builds.
Solution: The tester traces checkout issues down to the source script and automatically opens a fix pull request in your repository.
Example: A developer merges a patch PR created by the AI agent to fix an unclickable billing check-box.
Target audience: Best for: Quality assurance leads, Senior web engineers, Devops operations managers
Pricing: Subscription · Categories: Code Assistants, Developer Tools, Productivity
Tags: ai agent, code assistant, codebase, developer tools
Pie is an automated quality assurance and code-maintenance platform designed to act as an autonomous testing layer for development teams. It monitors code changes across live and staging environments, runs vision-based functional interface tests on critical user flows, and discovers bugs or visual regressions without requiring engineers to write or update manual test scripts.
Pie evaluates code modifications, performs zero-maintenance visual interface testing, and identifies broken user journeys like checkout errors or unclickable elements. Beyond detecting defects, the system traces errors to the source code files responsible and automatically opens repository pull requests with code fixes, allowing teams to address regressions rapidly.
Pie is intended for quality assurance leads, senior web engineers, and DevOps operations managers. It serves engineering teams that want to preserve high testing standards, prevent broken user flows in live releases, and reduce the time developers spend triaging regressions and writing repetitive test scripts.
When Pie encounters an issue during functional interface scans, it isolates the underlying cause within the project repository. It then acts as an automated bug-tracing patch creator, drafting the appropriate code modifications and opening a pull request directly in your code repository for engineer review and approval.
Pie is offered under a subscription pricing model. Engineering teams and organizations can access its continuous quality assurance monitoring, automated visual interface testing, and repository pull request generation features through recurring subscription plans tailored for their development and release requirements.