Bob-SRE: AI-Powered Autonomous Engineer

Enterprise engineering teams face two massive bottlenecks: Cloud Waste: Companies waste an estimated $420B annually over-provisioning Docker Swarm/Cloud clusters because manual right-sizing is too complex. Incident Response: When microservices crash (production operations), SREs spend hours manually correlating stack traces to source code. Bob-SRE wraps the IBM Bob AI in a programmatic orchestration layer to automate the entire SRE lifecycle: Infrastructure Provisioning (InfraCraft): It autonomously clones GitHub repositories, analyzes the language/framework using AST parsing, and uses IBM Bob to generate production-ready Dockerfiles and Docker manifests. Cost Optimization (FinOps): It ingests live production metrics, compares them to existing YAML configurations, and uses Bob to generate right-sized resource allocations, instantly calculating exact dollar savings using built-in AWS/GCP pricing models. Incident Response (Runbook): It ingests raw stack traces, classifies the severity, and utilizes Bob to trace the error back to the exact line of code, generating a markdown Root Cause Analysis report with prioritized fixes. 6. How We Used IBM Bob (Application of Technology) Rather than using IBM Bob conversationally or as an IDE plugin, we engineered a programmatic wrapper (BobCLIClient) that executes Bob as a backend microservice via Python's subprocess. We built a Prompt Engine that dynamically injects repository context, AST scan results, and configuration heuristics into strict templates before sending them to Bob. We then use Regex to parse Bob's output, extract the generated YAML/Dockerfiles, and inject them into our interactive, glassmorphism-styled Streamlit UI.