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
Sahil Hindwani developed foundational automation features for the harness/mcp-server repository, focusing on backend process creation and AI-driven release management. He implemented a CreateProcess action in Go, enabling automated process instantiation and laying the groundwork for broader workflow integration. In subsequent work, Sahil integrated an AI agent and the ask_release_agent_prompt tool to orchestrate release management within the CD module, automating CREATE_PROCESS actions and centralizing release workflows. His approach leveraged Go, API development, and AI integration to reduce manual overhead and improve traceability. Over two months, Sahil delivered two features that deepened platform automation without introducing or fixing major bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
80
Activity Months2
Your Network
318 people
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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