harness/mcp-server
Jul 2025 – Sep 2025
2 Months active
Languages Used
Go
Technical Skills
Backend DevelopmentAI IntegrationAPI DevelopmentGoRelease Management
Sahil Hindwani
PROFILE
Sahil Hindwani
Over a two-month period, contributed to the harness/mcp-server repository by building foundational automation and AI-driven release management features. Developed backend process creation capabilities in Go, enabling automated instantiation of processes from the Harness MCP server and laying the groundwork for broader workflow integration. Subsequently, implemented an AI-assisted release management agent and integrated the ask_release_agent_prompt tool within the CD module, allowing centralized orchestration of release processes through API development and backend workflow automation. Focused on release management and AI integration, the work reduced manual intervention and improved traceability, demonstrating depth in backend development and platform automation without documented bug fixes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
80
Activity Months2
Your Network
332 peopleShared Repositories
45
Abhinav HingerMember
Abhinav SinghMember
Abhishek SinghMember
abhisheksingh-0710Member
alexsoto-harnessMember
Anurag TiwariMember
Archit SinglaMember
Arvind ChoudharyMember
Bhavesh KaushalMember
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary: Focused on enabling automated, AI-assisted release management for MCP Server. Implemented Release Management AI Agent and Tool Integration, introducing the ask_release_agent_prompt tool to Harness to manage release processes. The tool is registered and configured within the CD module to handle CREATE_PROCESS actions, enabling centralized and automated release orchestration across pipelines. This progress is captured in commit f285e566eab236daef1a2c0cd86cdceaefc3a610 (feat: RM-320). Impact: reduced manual overhead, improved traceability, and faster release cycles. Technologies/skills: AI-assisted automation, tool registration within CD module, backend release workflow orchestration, MCP Server integration.
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary: Focused on enabling automated, AI-assisted release management for MCP Server. Implemented Release Management AI Agent and Tool Integration, introducing the ask_release_agent_prompt tool to Harness to manage release processes. The tool is registered and configured within the CD module to handle CREATE_PROCESS actions, enabling centralized and automated release orchestration across pipelines. This progress is captured in commit f285e566eab236daef1a2c0cd86cdceaefc3a610 (feat: RM-320). Impact: reduced manual overhead, improved traceability, and faster release cycles. Technologies/skills: AI-assisted automation, tool registration within CD module, backend release workflow orchestration, MCP Server integration.
September 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Implemented foundational feature to create processes from the Harness MCP server, enabling automated process instantiation and paving the way for broader platform integration. This aligns with the roadmap to enhance automation and streamline user workflows.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Implemented foundational feature to create processes from the Harness MCP server, enabling automated process instantiation and paving the way for broader platform integration. This aligns with the roadmap to enhance automation and streamline user workflows.
Activity
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Quality Metrics
Correctness95.0%
Maintainability90.0%
Architecture95.0%
Performance90.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
Go
Technical Skills
AI IntegrationAPI DevelopmentBackend DevelopmentGoRelease Management
Repositories Contributed To
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