IBM/AssetOpsBench
May 2025 – May 2025
1 Month active
Languages Used
JSONMarkdownPythonSQLShell
Technical Skills
AI Agent DevelopmentAI/MLAPI DevelopmentAPI InteractionAgent DevelopmentData Analysis
Jim Rayfield
PROFILE
Jim Rayfield
During May 2025, Jason Tray expanded the IBM/AssetOpsBench meta-agent framework by developing new agent tools and integrating few-shot learning techniques to enhance agent response quality. He implemented agent interaction templates and an EvaluationAgent with a dedicated script for automated QA of AI agent outputs. Jason established a data handling foundation and migrated local development to CouchDB, updating documentation to support this transition. His work leveraged Python, SQL, and JSON for scripting, database management, and prompt engineering. The depth of these contributions improved automation, streamlined agent evaluation, and enabled more scalable, maintainable workflows without introducing customer-impacting bugs or regressions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
11Total
Bugs
0
Commits
11
Features
7
Lines of code
44,775
Activity Months1
Your Network
181 people
Work History
May 2025
11 Commits • 7 Features
May 1, 20252025-05 Monthly Summary for IBM/AssetOpsBench: Expanded the meta-agent framework with new agent tools (FMSR, IoT, RuleLogic, TSFM, WorkOrder), added agent prompts and few-shot guidance, and introduced interaction templates (BMSFewShots). Implemented EvaluationAgent and an evaluation script to QA AI agent responses. Established Data Handling Foundation and migrated local development to CouchDB, with accompanying documentation updates. Documentation covers CouchDB integration and configuration. Maintained internal copy alignment. No customer-impact bugs were reported; minor quality fixes include a few documentation typos corrected. Overall, these changes enhance automation capabilities, improve agent evaluation, and streamline local development, delivering business value through faster iteration, higher QA confidence, and more scalable agent-assisted workflows.
11 Commits • 7 Features
May 1, 20252025-05 Monthly Summary for IBM/AssetOpsBench: Expanded the meta-agent framework with new agent tools (FMSR, IoT, RuleLogic, TSFM, WorkOrder), added agent prompts and few-shot guidance, and introduced interaction templates (BMSFewShots). Implemented EvaluationAgent and an evaluation script to QA AI agent responses. Established Data Handling Foundation and migrated local development to CouchDB, with accompanying documentation updates. Documentation covers CouchDB integration and configuration. Maintained internal copy alignment. No customer-impact bugs were reported; minor quality fixes include a few documentation typos corrected. Overall, these changes enhance automation capabilities, improve agent evaluation, and streamline local development, delivering business value through faster iteration, higher QA confidence, and more scalable agent-assisted workflows.
May 2025
Activity
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Quality Metrics
Correctness82.8%
Maintainability83.6%
Architecture81.8%
Performance80.0%
AI Usage45.4%
Skills & Technologies
Programming Languages
JSONMarkdownPythonSQLShell
Technical Skills
AI Agent DevelopmentAI/MLAPI DevelopmentAPI InteractionAgent DevelopmentData AnalysisData EngineeringData RetrievalDatabase ConfigurationDatabase ManagementDocumentationError HandlingExample GenerationFew-Shot LearningJSON Parsing
Repositories Contributed To
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