Career Agents Open Source Contribution Challenge 2026

Career-Agents Open Source Contribution Challenge 2026 Global Open-Source Engineering Event Build. Test. Contribute. Get Merged. September 25 – October 15, 2026 Organized by Career-Agents × CodeMyFYP An open-source contribution challenge focused on advancing Career-Agents, the AI Career Operating System. Explore the GitHub Repository About the Event The Career-Agents Open Source Contribution Challenge 2026 is a global engineering event that invites developers to contribute directly to a real-world, open-source AI project. Unlike traditional hackathons, participants are not required to build an entirely new application. Instead, they will work on an existing open-source ecosystem by identifying genuine problems, proposing improvements, implementing solutions, writing tests, and submitting Pull Requests for maintainer review. The challenge focuses on advancing Career-Agents, an open-source AI Career Operating System that brings together specialized AI agents, developer tools, career intelligence, job-search automation, and AI-powered professional development workflows. Participants can contribute across AI engineering, Model Context Protocol (MCP), CLI development, backend systems, frontend development, testing, security, performance, accessibility, and documentation. Every contribution will be reviewed for technical correctness, relevance, maintainability, and its value to the project. The objective is to create meaningful open-source contributions that remain valuable beyond the event. About Career-Agents Career-Agents Open-Source AI Career Operating System An AI-powered ecosystem designed to help developers and professionals navigate career development, job searching, resume optimization, interview preparation, and professional growth. Career-Agents brings together multiple AI-powered capabilities within a unified ecosystem. 167 Specialized AI agents 19 Agent divisions MCP + CLI Developer integrations MIT Open-source license The project includes specialized AI career agents, MCP-powered tooling, global CLI and NPX support, agentic job-search workflows, ATS Resume Studio, interview preparation systems, company-specific interview intelligence, career knowledge graph capabilities, GitHub portfolio analysis, voice-based career tooling, REST APIs, and developer integrations. Career-Agents is designed as an extensible platform where developers can contribute to individual components or improve how different systems work together. Project repository: github.com/karthikrshet/Career-Agents Who Can Participate? The challenge is open to students, software developers, AI/ML engineers, full-stack developers, frontend and backend engineers, DevOps engineers, QA engineers, security researchers, technical writers, designers, and experienced open-source maintainers. First-time contributors are equally welcome. Participants do not need previous experience contributing to Career-Agents, provided they understand their proposed changes and follow the project's contribution guidelines. Participation is free and open to developers worldwide. Contribution Tracks Participants may contribute to one or more of the following areas. These tracks are intended to guide development rather than restrict valid improvements. Bug Fixes & Issue Resolution Identify and resolve reproducible bugs affecting existing functionality. Contributions should include clear reproduction steps, an explanation of the root cause, a focused fix, and regression tests where applicable. AI Agents & Career Intelligence Improve existing agents, agent routing, metadata, evaluation, prompt quality, career reasoning, and agent reliability. New agents should address a genuine use case and comply with the repository's agent schemas and registry requirements. Model Context Protocol (MCP) Develop or improve MCP tools, tool schemas, integrations, error handling, validation, interoperability, tool reliability, and developer-facing MCP documentation. CLI & Developer Experience Improve command-line functionality, installation workflows, diagnostics, error handling, terminal usability, cross-platform compatibility, and developer onboarding. Job Search & Automation Enhance job discovery, candidate matching, ATS integrations, requirement extraction, application tracking, recruiter outreach workflows, and automation reliability. Resume & ATS Intelligence Improve resume parsing, ATS analysis, resume scoring, keyword intelligence, job-description matching, resume generation, validation, and export workflows. Interview Intelligence Contribute to interview preparation, question generation, technical assessments, company-specific interview tracks, voice interview functionality, evaluation systems, and feedback quality. AI, RAG & Retrieval Systems Improve retrieval quality, ranking, context selection, knowledge graph functionality, AI provider integrations, evaluation, hallucination reduction, and reasoning reliability. Testing & Reliability Add meaningful unit tests, integration tests, regression tests, API tests, MCP tests, CLI tests, edge-case coverage, and failure-recovery improvements. Security & Performance Improve input validation, dependency safety, secure configuration, resource usage, startup performance, API latency, caching, and computational efficiency. Security vulnerabilities must be disclosed privately through the repository's responsible disclosure process. Web, UI/UX & Accessibility Improve user-facing interfaces, responsive layouts, navigation, loading and error states, keyboard accessibility, screen-reader support, and overall product usability. Internationalization & Localization Improve language support, locale handling, regional career workflows, international resume conventions, and multilingual accessibility. Documentation & Developer Education Create or improve meaningful setup instructions, architecture documentation, tutorials, API examples, MCP integration guides, troubleshooting resources, and contributor onboarding materials. How to Participate 1 Register for the Event Complete your registration through the official Luma event page. Provide your GitHub username so your submissions can be associated with your registration. 2 Explore the Repository Review the README, contribution guidelines, architecture, open issues, and relevant documentation. Understand the existing implementation before proposing changes. 3 Identify a Meaningful Contribution Select an existing issue, reproduce a genuine bug, or propose a useful improvement. Search existing issues and discussions to avoid duplicates. Discuss significant features with maintainers before implementation. 4 Fork and Develop Fork Career-Agents, create a dedicated branch, implement your change, and follow the repository's architecture, coding conventions, and contribution requirements. 5 Test and Validate Run relevant tests and repository validation. Provide evidence that your implementation works and does not introduce regressions. 6 Submit a Pull Request Open a PR against the Career-Agents repository. Explain the problem, implementation, testing performed, and related issue. Submit before the official deadline. 7 Maintainer Review and Merge Maintainers will evaluate your contribution, request changes where necessary, and merge submissions that meet the project's requirements. Contribution Guidelines All participants must follow the repository's existing contribution guidelines, Code of Conduct, security policies, and applicable development instructions. Repository integrity Career-Agents contains interconnected agent definitions, registries, generated indexes, mappings, and supporting assets. Contributors must preserve the relationships between these components. For applicable agent and registry changes, follow the documented generation and validation workflows: Bash python scripts/generate-data.pypython scripts/validate.py Do not manually modify generated files where the repository requires regeneration. Avoid duplicate agent IDs, orphaned agents, broken references, and inconsistent registry entries. Run relevant validation after making changes. A Pull Request that breaks repository integrity will not be accepted. Pull Request requirements Each contribution should include a clear description of the problem, why it matters, the proposed solution, the technical approach, the relevant issue or discussion, and testing evidence. Include screenshots, logs, benchmarks, or reproduction steps where relevant. Describe any compatibility risks and disclose substantial use of AI coding tools. Keep PRs focused and respond constructively to maintainer feedback. AI-assisted development AI coding tools, including Codex, Claude Code, Cursor, Gemini CLI, GitHub Copilot, Windsurf, and other development assistants, are permitted. Contributors remain responsible for understanding, reviewing, testing, and maintaining all code they submit. Automatically generated code, fabricated test results, unverified implementations, and changes that compromise existing functionality will not be accepted. Contribution eligibility A contribution must deliver meaningful value to the project. Examples include a confirmed bug fix, useful feature, significant documentation improvement, reliability enhancement, security improvement, accessibility fix, or improved developer experience. Submitting a PR does not guarantee acceptance or recognition. Spam submissions, plagiarism, duplicate changes, unrelated formatting edits, fabricated evidence, malicious code, and PRs created solely to increase submission counts may be excluded. The number of Pull Requests and lines of code are not measures of contribution quality. Event Timeline Event begins Contribution deadline Maintainer review Results and recognition A Pull Request does not need to be merged before the submission deadline if maintainer review is still in progress. However, it must be opened within the event period and ultimately meet the project's technical and eligibility requirements to qualify. Evaluation Criteria Contributions will be evaluated on engineering quality, practical impact, and their alignment with Career-Agents' architecture and development standards. A small, well-tested fix that resolves an important problem may be more valuable than a large feature that introduces unnecessary complexity. Multiple submissions are permitted, but PR volume does not provide an automatic advantage. Contributor Recognition Contributors whose work meets the challenge's acceptance criteria may receive a verified digital Open-Source Contributor Certificate and recognition within the Career-Agents contributor community. Exceptional contributions may be recognized in the following categories: Recognition Categories Outstanding Open-Source Contributor Core Engineering Contributor AI Systems Contributor MCP Engineering Contributor Bug Hunter Award Reliability Champion Security Contributor Developer Experience Contributor Accessibility Contributor Documentation Contributor Best First-Time Open-Source Contributor Recognition is subject to the quality and eligibility of submissions received. The organizers may withhold a category award if no contribution meets the required standard. Exceptional contributors may also be invited to continue contributing to the project after the event. Registration or submission alone does not guarantee a certificate, award, or maintainer role. Important Policies Security: Potential security vulnerabilities must be reported privately through the repository's responsible disclosure process. Do not publish exploitable details in public issues or Pull Requests. Authorship: Participants may collaborate, but contributions must accurately identify their authors. Git co-authorship may be used where multiple developers genuinely contributed. Code of Conduct: All participants must communicate respectfully, provide honest attribution, and follow the Career-Agents Code of Conduct. Maintainer authority: Project maintainers retain final authority over repository changes. Event participation does not guarantee that a proposed feature or fix will be merged. Licensing: Contributions must comply with the repository's MIT License and must not introduce code or assets that contributors lack permission to submit. Frequently Asked Questions Is participation free? Do I need to build a new project? Can beginners participate? Can I use AI coding tools? Can I submit multiple Pull Requests? Can I work with other developers? Will every Pull Request be merged? Does a Pull Request need to be merged before the deadline? Will everyone receive a certificate? How should I report a security vulnerability? Official Links Career-Agents Repository Source code, issues, Pull Requests, and documentation Event Contact :- [email protected] Join the Challenge Career-Agents is an open-source project that grows through meaningful contributions from developers who identify problems, propose solutions, and improve the software for its users. Whether you are fixing your first bug, improving an AI agent, developing an MCP integration, strengthening test coverage, or contributing to the underlying architecture, your work can help advance the project. Contribute to real software. Build a public engineering track record. Help shape the future of the open-source AI Career Operating System.