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1
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Morocco
1 year of experience
Computer Science student passionate about software development, Artificial Intelligence, Machine Learning, and emerging technologies. I enjoy building practical projects, exploring new technologies, and turning ideas into useful solutions. My main interests include AI, ML, automation, software engineering, and experimenting with new AI tools and technologies. I’m always looking to learn, improve my skills, and collaborate with people who enjoy building innovative projects. I’m particularly interested in hackathons and hands-on challenges where I can transform ideas into real prototypes while learning from others.

Problem Before releasing a code change, developers often have to manually review its impact, test coverage, dependency changes, reliability risks, and potential regressions. This process is time-consuming and inconsistent, especially under deadline pressure, and important review steps can be missed. Solution ReleaseGuard is an AI-assisted release-readiness workflow powered by IBM Bob 2.0. It transforms a code change and its diff into a structured release-readiness assessment. The workflow analyzes four key dimensions: Impact Analysis — identifies changed components, downstream consumers, API changes, and blast radius. Test Analysis — evaluates existing test coverage and identifies important uncovered paths. Dependency Analysis — detects dependency changes and assesses potential compatibility or regression risks. Risk Analysis — identifies reliability, security, validation, error-handling, and code-quality risks. IBM Bob then synthesizes the specialist analyses into a structured report containing a GO, GO-WITH-ACTIONS, or NO-GO release decision, a risk level, prioritized remediation actions, and release notes. Target Users ReleaseGuard is designed for software developers, technical leads, reviewers, and engineering teams who need a structured way to assess whether a code change is ready to release. How It Works Developers select a code change in the ReleaseGuard dashboard and start the analysis workflow. The system builds structured context from the diff and project information. IBM Bob's custom Release-Readiness Skill coordinates four specialist analyses in parallel and synthesizes their results. The resulting report is presented through a React dashboard with dedicated views for risks, impact, tests, dependencies, remediation actions, and release notes. What Makes It Unique Instead of using AI only as a coding assistant, ReleaseGuard uses IBM Bob as an analysis and decision-support engine for the release process. Its custom Skill, parallel specialist subagents, structured intermediate context, synthesis step, and iterative code review create a repeatable workflow from code change to release decision. In the demonstration scenario, ReleaseGuard detects a critical reliability risk caused by the removal of an error handler from a payment service and produces a NO-GO / CRITICAL decision with concrete remediation actions. ReleaseGuard therefore helps developers move from “What changed?” to “Is this ready to release, why, and what should be fixed first?”
27 Sep 2026