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Try It Out :-

* GitHub: https://github.com/VinvAI/VinvAI

* VS Code & Cursor Extension: https://open-vsx.org/extension/VinvAI/VinvAI

* Demo Video: https://www.youtube.com/watch?v=EkUjPWKHAvI

Vinv ties live runtime traces to the exact source symbols that produced them, feeds this precise evidence to your coding agent, and independently verifies whether its generated fix actually holds.

The context itself is dynamically learned. Vinv uses Thompson sampling to determine the optimal amount of code and runtime evidence to provide to the agent, actively measuring when additional runtime context helps versus when it hurts.

Demonstration Results :-

Tested on FastAPI's full-stack-fastapi-template (one trial per condition, a demonstration rather than a benchmark):

* Grok 4.5 + Vinv context: 4 bugs + 1 optimization

* Grok 4.5 (no context): Nothing

* Fable 5 (no context): 1 bug

Real-World Impact :-

Beyond bug fixing, Vinv found and proved a performance fix in Hugging Face's smolagents:

Reduced transient allocations from 36.27 KB to 0 KB per 4 KB log line.

Verified byte-identical output across 2,015 distinct inputs.

Key Capabilities

Advanced Code Intelligence: Detects dead code and performance bottlenecks.

Universal Integration: Works inside your IDE or with any coding agent/application via MCP.

Open Source: Apache 2.0.

Nothing ever leaves your laptop. All code processing and local indexing happen completely offline. It downloads a one-time 500 MB local embedding model on first setup.

I saw in the demo video flame graphs of all services , how can I access them and where will they come ?