GooeyAI/gooey-server
Nov 2025 – Nov 2025
1 Month active
Languages Used
PythonYAML
Technical Skills
API integrationDevOpsDjangoGitHub ActionsPythonWorkflow Automation
Kaustubh M
PROFILE
Kaustubh M
Worked on the GooeyAI/gooey-server repository to enhance backend reliability and user accessibility by addressing four key bugs over one month. Focused on restoring auto recharge and add-ons access for all users, the work improved feature parity across subscription plans. Implemented robust error handling for OpenAI safety errors in LLM runs, reducing crash risk and ensuring more stable API interactions. Improved code clarity by correcting type signatures in Python functions and streamlined deployment workflows by updating GitHub Actions permissions using YAML. Demonstrated skills in API integration, DevOps, and workflow automation, resulting in reduced production risk and smoother onboarding for non-enterprise users.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
4Total
Bugs
4
Commits
4
Features
0
Lines of code
197
Activity Months1
Your Network
8 peopleShared Repositories
8
computational mamaMember
anish-workMember
Avinash Anand LalMember
milovateMember
Dev AggarwalMember
MilovateMember
ClaudeMember
Sean BlagsvedtMember
Work History
November 2025
4 Commits
Nov 1, 2025Summary for 2025-11: The Gooey server team delivered reliability improvements, access parity for all users, and deployment safety enhancements, driving business value through reduced support friction and more robust operations. Key features delivered: restore auto recharge and addons access for all users across plans (reverted previous restriction); enable modal-deploy workflow by granting read permissions to repository contents during deployment; fix type signature for run_mms_tts to improve typing and clarity. Major bugs fixed: added OpenAI safety error handling to prevent crashes in LLM runs, enhancing robustness of interactions with OpenAI's API. Overall impact and accomplishments: improved user accessibility and experience, more stable and predictable LLM interactions, and streamlined deployment workflows; reductions in production risk and onboarding friction for non-enterprise users. Technologies/skills demonstrated: robust API error handling, static typing improvements, GitHub Actions permission management, and deployment automation across the server stack.
4 Commits
Nov 1, 2025Summary for 2025-11: The Gooey server team delivered reliability improvements, access parity for all users, and deployment safety enhancements, driving business value through reduced support friction and more robust operations. Key features delivered: restore auto recharge and addons access for all users across plans (reverted previous restriction); enable modal-deploy workflow by granting read permissions to repository contents during deployment; fix type signature for run_mms_tts to improve typing and clarity. Major bugs fixed: added OpenAI safety error handling to prevent crashes in LLM runs, enhancing robustness of interactions with OpenAI's API. Overall impact and accomplishments: improved user accessibility and experience, more stable and predictable LLM interactions, and streamlined deployment workflows; reductions in production risk and onboarding friction for non-enterprise users. Technologies/skills demonstrated: robust API error handling, static typing improvements, GitHub Actions permission management, and deployment automation across the server stack.
November 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
API integrationDevOpsDjangoGitHub ActionsPythonWorkflow Automationbackend developmentdatabase managementerror handling
Repositories Contributed To
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