arthur-ai/arthur-engine
Apr 2026 – Apr 2026
1 Month active
Languages Used
MarkdownTypeScriptplaintext
Technical Skills
AI DevelopmentAPI IntegrationAPI integrationBackend DevelopmentTypeScriptdocumentation
Pranav Shikarpur
PROFILE
Pranav Shikarpur
Worked on the arthur-engine repository to deliver two features focused on improving model reliability and developer onboarding. Implemented guardrails and a retry mechanism for the textToSQL tool using TypeScript, which reduced hallucinations and increased the accuracy of generated summaries. Enhanced the integration process for Claude by adding a .env.example file and updating documentation in Markdown, making setup more accessible for contributors. Prioritized clear commit messages and targeted changes to support maintainability and collaboration. The work emphasized backend development, API integration, and technical writing, resulting in more trustworthy outputs and a streamlined onboarding experience for new developers.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
378
Activity Months1
Your Network
19 peopleShared Repositories
19
alex380125Member
Aneesh Singh RajoriyaMember
Arthur EngineeringMember
GitHub CIMember
Ibrahim AbouhashishMember
JonathanMember
Kacper KrupinskiMember
Kacper KrupinskiMember
Łukasz MyśliwiecMember
Work History
April 2026
3 Commits • 2 Features
Apr 1, 2026April 2026 (2026-04) highlights for arthur-engine: Delivered two high-impact features that improve model reliability, accuracy, and developer experience. Key reliability work reduced the risk of incorrect summaries and streamlined onboarding via improved documentation. Overall, the month delivered stronger business value through more trustworthy outputs and easier setup for contributors.
3 Commits • 2 Features
Apr 1, 2026April 2026 (2026-04) highlights for arthur-engine: Delivered two high-impact features that improve model reliability, accuracy, and developer experience. Key reliability work reduced the risk of incorrect summaries and streamlined onboarding via improved documentation. Overall, the month delivered stronger business value through more trustworthy outputs and easier setup for contributors.
April 2026
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage40.0%
Skills & Technologies
Programming Languages
MarkdownTypeScriptplaintext
Technical Skills
AI DevelopmentAPI IntegrationAPI integrationBackend DevelopmentTypeScriptdocumentationenvironment configurationtechnical writing
Repositories Contributed To
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