Project Ripple is an enterprise-grade architectural safety engine designed to act as a definitive structural guardrail for large-scale codebase modernization and AI-driven refactoring.
As organizations deploy autonomous AI agents to modernize legacy stacks, they face massive structural risk: minor, localized file changes often introduce highly unpredictable cascading failures across hidden cross-functional boundaries. Project Ripple solves this by shifting away from fragile, noisy regex string checks and instead analyzing codebase configurations using pure network geometry and graph-theoretic topology.
- Zero-Keyword Topology Tracking: Evaluates code safety and boundaries by structural gravity, connectivity matrices, and active folder path-depths rather than fragile linter keyword matching.
- Dynamic Impact Sensitivity Controls: Features a live, interactive UI threshold matrix allowing engineers to visualize structural system boundaries and protect immutable central contract hubs (Gravity Centers) from risk before a commit occurs.
- Autonomous Compliance Tracing: Built using an advanced, project-specific agent persona (
Topology-Architect) inside IBM Bob powered by watsonx, which automatically audits refactoring pathways, identifies performance traps, and writes its own governance logs. - Enterprise Elastic Scaling: Features a pre-filtering Semantic RAG Vector Layer utilizing heavy
sentence-transformers,FAISS, andChromaDBdense index mapping to handle codebases with 50,000+ files safely.
| System Layer | Component / Framework | Core Functional Role |
|---|---|---|
| Frontend UI | Streamlit | Real-time multi-dimensional ripple & blast-radius visualization dashboard. |
| Agentic Infrastructure | IBM Bob Powered by watsonx | Autonomous architectural drift triage, self-healing refactoring, and automated compliance logging. |
| Intelligence Gatekeeper | Sentence-Transformers, FAISS, ChromaDB | Heavy dense vector matrix models for semantic workspace pre-filtering. |
| Graph Mathematics Engine | Custom Network Topology Matrix | Fan-In / Fan-Out node evaluation and structural impact trajectory calculations. |
RIPPLE PROJECT/
├── analyzers/ # Graph-theory network topology matrix algorithms & polyglot mappers
│ ├── cross_language_mapper.py, generic_analyzer.py, knn_analyzer.py, repo_analyzer.py, ...
├── bob_sessions/ # [DELIVERABLE] Verified compliance logs and autonomous task session exports
├── utils/ # Vector RAG pre-filtering, threshold metrics, and UI utility modules
│ ├── github_fetcher.py, rag_filter.py, severity_detector.py, ui_components.py, ...
├── app.py # Main Streamlit execution script & dashboard control interface
├── BOB_REPORT.md # Master algorithmic compliance audit trail authored by IBM Bob
├── requirements.txt # Production-locked third-party frameworks (FAISS, ChromaDB, etc.)
└── *.md # Secondary architecture profiles and vector optimization reference sheets
Before setting up the engine locally, ensure your machine meets the following environment baselines:
- Python: Version
3.9,3.10, or3.11installed (3.11highly recommended) - Package Manager:
pipupdated to the latest release - Virtualization:
venvmodule available for ecosystem isolation
Pull down the verified compliance codebase from the remote main origin:
git clone https://github.com/Juhi4433/Project-Ripple.git
cd "Project Ripple"Create and spin up an isolated environment compartment to manage dense mathematical libraries without local global scope conflicts:
# Create local virtual environment
python -m venv venvActivate on Windows (PowerShell):
.\venv\Scripts\Activate.ps1Activate on macOS/Linux:
source venv/bin/activateTo bypass local C++ compiler dependencies, version mismatches, and heavy background wheels from stalling processing pipelines, enforce production-tested initialization configurations:
pip install --upgrade pip
pip install -r requirements.txtWith dependencies securely cached, boot up the multi-dimensional tracking console natively via Streamlit:
streamlit run app.pyThe execution terminal will spin up a local server process. Open your preferred browser and navigate to the default address to access the dashboard live:
- Local URL:
http://localhost:8501
This repository is strictly compliant with the administrative security guidelines of the IBM Bob Hackathon evaluation committee.
-
Autonomous Integrity Documents: The complete history of structural refactoring transformations — including the algorithmic optimization from an
$O(n^2)$ processing bottleneck down to an efficient, flat$O(n)$ path-traversal map — is fully documented in the root directory underBOB_REPORT.md. -
Verified Agent Verification Log Trails: Authenticated system task logs highlighting tool access privileges and background evaluation sweeps are securely located within the
bob_sessions/folder as required for judicial execution audits. -
Credential Scrubbing Protocols: All files have been rigorously audited and cleared of hardcoded credentials, secret environment variables, and cloud infrastructure authorization tokens by our staging pipeline to prevent structural vulnerabilities.
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Cross-Functional Ecosystem Tracing: Expanding structural tracing patterns across multi-language microservice nodes to instantly link backend Java Spring Boot API changes directly to downstream Python data pipelines.
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Predictive Edge Defenses: Integrating predictive edge path-patching using real-time generative models inside watsonx to safely heal code configurations before testing lifecycles trigger.
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Multi-Cloud Topology Sync: Synchronizing live infrastructure dependency boundaries dynamically across distributed cloud clusters.