Have been working on building Decypher, which provides deep execution context for Agentic Coding. One of the biggest challenges we have seen with Agentic response is, how quickly they try to come up with answers when it comes to coding and run multi step debugging flows later when the assumptions don’t hold true, costing tokens as well as time. Decypher performs a deep semantic analysis of the code base and can index the codebase for the whole enterprise, enabling agents to answer queries like what all methods or classes exist, what do they do, and how do they interact with rest of the codebase. I kind of leveraged it to super charge Gemini 3.1 flash lite and the model can definitely kick wayy above its weight submitted by /u/_h4xr
Originally posted by u/_h4xr on r/ArtificialInteligence
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