Ask an AI assistant technical questions about your own codebase

A chat assistant reads your GitHub codebase and answers developers' technical questions with real, specific context.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"developer asks a question"]:::trig s0["search codebase for context"]:::svc s1["generate AI answer"]:::svc s2["return answer to developer"]:::task trig --> s0 s0 --> s1 s1 --> s2 out[/"accurate code aware answer delivered"/]:::out pay{{"engineers not interrupted with routine questions"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsKnowledge Base & RAG
Connects
GitHubOpenAIPinecone

The problem it solves

New developers or non-technical stakeholders keep interrupting your senior engineers with questions about how the codebase works. Answering the same questions repeatedly, or writing documentation nobody reads, eats into time your team should spend building.

Who it fits

A software team that wants technical questions about their codebase answered without pulling a senior engineer away from work.

How it works

  1. Your GitHub repository is loaded and split into searchable chunks
  2. Someone asks a question in the chat
  3. The AI searches the codebase for relevant sections using Pinecone
  4. It combines the retrieved code with an OpenAI-generated answer
  5. A precise, context-aware technical response is returned in chat
What you get

Codebase questions answered with real context

You get accurate answers to technical questions about your own codebase, pulled directly from your GitHub repository so your engineers stay focused on building.

What you get

Accurate, code-aware answers to technical questions, without needing a human to look anything up.

What you need

A GitHub account, an OpenAI API key, and a Pinecone account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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