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Tigran Kostandyan

PROFILE

Tigran Kostandyan

Worked on the archestra-ai/archestra repository to enhance backend reliability and deployment flexibility over a two-month period. Delivered robust chat error handling by implementing provider-specific context-length overflow detection and standardizing user-facing error messages, ensuring a consistent experience across multiple AI providers. Improved backend stability by consolidating error handling logic, reducing duplicate logs, and preventing redundant UI error cards. Additionally, introduced dynamic environment variable resolution for Kubernetes MCP deployment arguments using TypeScript and JavaScript, enabling runtime substitution of shell-style references while preserving debuggability and security. These contributions improved deployment reproducibility and reduced manual intervention, reflecting a focus on maintainable, testable backend systems.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

3Total
Bugs
1
Commits
3
Features
1
Lines of code
7,972
Activity Months2

Work History

May 2026

1 Commits • 1 Features

May 1, 2026

May 2026: Implemented dynamic environment variable resolution for MCP deployment arguments in archestra. Introduced a resolveArgs helper in K8sDeployment to substitute shell-style env refs ($VAR, ${VAR}) in MCP server arguments using values from the catalog environment config. Wired into both deployment spec generation paths (generateDeploymentSpec and generateDeploymentFromYaml) with tests covering both. This enables deployment specs to resolve runtime env refs at generation time, avoids wrapping commands in sh -c, and keeps undefined refs literal for debuggability. Secret-typed env vars are intentionally not substituted. This work closes issues #2160 and #4202 and improves deployment reliability and reproducibility.

April 2026

2 Commits

Apr 1, 2026

Concise April 2026 monthly summary for archestra project. Focused on delivering robust, user-friendly chat reliability improvements and reducing backend noise while tightening error handling and code paths for consistent UX across providers.

Activity

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Quality Metrics

Correctness100.0%
Maintainability80.0%
Architecture86.6%
Performance80.0%
AI Usage60.0%

Skills & Technologies

Programming Languages

JSONJavaScriptTypeScript

Technical Skills

API DevelopmentBackend DevelopmentError HandlingJavaScriptKubernetesTypeScriptbackend developmenterror handlingtesting

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

archestra-ai/archestra

Apr 2026 May 2026
2 Months active

Languages Used

JSONJavaScriptTypeScript

Technical Skills

API DevelopmentError HandlingJavaScriptbackend developmenterror handlingtesting