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Engineering teams worldwide are drowning in undocumented codebases, slow onboarding, and deployment risk. Tribal knowledge walks out the door when senior engineers leave. Junior developers spend months just finding their way. Critical deployments are made on guesswork. This costs the global software industry over three hundred billion dollars every year. CodeAtlas Enterprise is the solution — an IBM Watsonx-powered engineering intelligence platform that connects to any GitHub repository and transforms it into a living, interactive knowledge system in minutes. At its core is IBM Bob, running two Granite models in tandem. granite-13b-instruct-v2 handles architecture analysis, documentation generation, and engineering Q&A. granite-20b-code-instruct handles deep code reasoning, dependency tracing, and risk prediction. Every single module runs through IBM Watsonx. Six enterprise-grade intelligence modules power the platform. The Repository Ingestion Engine auto-detects frameworks, databases, and DevOps tooling. The Architecture Intelligence Engine generates interactive visual graphs mapping every service and dependency. The Engineering Knowledge Assistant answers any codebase question with exact file paths and code traces. The Change Risk Engine predicts the full blast radius of any file modification before a line is pushed. The Documentation module generates onboarding guides and API references in one click. And the Metrics Dashboard delivers complexity scores, health indices, and technical debt indicators — all computed by IBM Bob. CodeAtlas also includes a Visual Workflow Designer — a drag-and-drop canvas for building and exporting system process diagrams, or generating them automatically from IBM Bob's repository analysis. This is not a demo. This is a production-ready enterprise engineering intelligence platform built entirely on IBM Watsonx Granite.
17 May 2026

ROCmPilot is an agentic developer tool for helping AI teams migrate CUDA/NVIDIA-first workloads toward AMD ROCm readiness. Users paste a public GitHub repository URL, and ROCmPilot runs a multi-agent audit across Dockerfiles, Python inference code, vLLM launch scripts, dependency files, health checks, and benchmark scripts. The system coordinates specialized agents: Repo Doctor finds CUDA and NVIDIA assumptions, Migration Planner creates ROCm-safe recommendations, Build Runner prepares validation steps, Benchmark Agent separates estimates from live AMD proof, Memory Agent stores reusable decisions, and Report Agent generates a judge-ready technical and business report. ROCmPilot currently uses Hugging Face and Qwen for model-backed report generation, with a fallback-safe demo path. It is designed to upgrade to AMD Developer Cloud by serving Qwen on AMD Instinct GPUs through ROCm and vLLM. The product is useful for infrastructure teams, AI startups, and open-source maintainers who want a faster, safer path to AMD GPU portability.
10 May 2026