@prashhh423

Code review is a high-friction developer workflow: a single change may need to be checked for security issues, maintainability problems, testing gaps, and compliance with project requirements. Reviewing these dimensions manually can be repetitive, inconsistent, and time-consuming. CodePulse is an AI-powered developer workflow platform that turns a code change into a structured, validated review. Developers provide a repository, change description, and project documentation. CodePulse loads the relevant repository and documentation context, then launches four specialized analysis agents in parallel: Security, Code Quality, Testing, and Requirements. The agents independently analyze the change and produce structured findings containing severity, category, affected file or line, evidence, impact, and recommended remediation. CodePulse then aggregates and deduplicates the findings, correlates related issues, normalizes severity, and presents them in a single review workspace. The workflow continues beyond static analysis. CodePulse generates regression tests based on the detected issues and executes those tests, reporting the actual validation result. This creates a closed loop from code change → analysis → findings → recommended fixes → generated tests → validation → final review report. The target users are software developers and development teams who want faster and more consistent review workflows without manually switching between multiple review activities. The creative aspect of CodePulse is its workflow-oriented multi-agent design. Instead of treating AI as a single chatbot that gives a general review, it assigns focused responsibilities to specialized agents and combines their results into an auditable developer workflow. Documentation is also treated as review context, allowing requirements and coding standards to contribute to the analysis. A demo review completes the full pipeline and presents the resulting findings, generated tests, validation results, and final report in one interface.

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