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CodeAlive

Multi-step questions, answers cited to your code

Multi-step reasoning across your entire codebase with transparent trails back to the code.

  1. Parse question

    Decompose 'How does our payment flow work?' into retrievable sub-queries.

  2. Retrieve context

    Pull PaymentService, OrderRouter, and webhook handlers from the knowledge graph.

  3. Multi-hop reasoning

    Trace the chain from API entry to service to external vendor to confirmation.

  4. Cite & answer

    Grounded answer with file:line references back to your code.

Deep research, one step at a time

Every step in the chain cites the code it used

How CodeAlive turns a question into an answer you can audit.

Natural Language Queries

Ask in plain English. "How does our payment flow work?" returns a traced explanation, not a snippet.

Multi-Step Reasoning

Follows calls across services and dependencies, not just the file you ask about.

Grounded Responses

Every answer links to the files it used. You can verify the reasoning, line by line.

Historical Context

Pulls in commits, PRs, and discussions so answers explain why the code is the way it is.

Two modes, one knowledge layer

Pick fast or thorough, depending on how much you need to be right.

Quick Search

Fast answers for simple questions

Direct lookups and targeted retrieval when you already know roughly what you are looking for.

Typical latency
Seconds
Depth of analysis
Focused
  • Single-hop retrieval against the knowledge graph
  • Best for "where is this defined" style questions
  • Returns code snippets with line-level references

Deep Research

Full multi-step analysis for complex queries

Multi-step investigation that walks dependencies, history, and conventions before answering.

Typical latency
Minutes
Depth of analysis
Comprehensive
  • Multi-hop reasoning across services and repositories
  • Best for system-level and architectural questions
  • Returns a structured trail with every supporting reference

When a Stack Overflow search will not do

Questions where the answer has to be right, not just plausible.

Due diligence for acquisitions

Map architecture, dependencies, and risk areas across an unfamiliar codebase before signing.

Legacy system documentation

Reconstruct how an old system works (and why) directly from the code that still runs in production.

Compliance audits

Trace data flows and access paths through every service to answer audit questions with evidence.

Incident investigation

Follow a failing path through services and history to find the change or assumption that broke.

What Deep Research looks like in practice

Three views: the answer, the citations, and the comparison with Quick Search.

Deep Research query with a detailed structured response and inline code citations
Detailed structured responseA complex query answered with sections, citations, and links into the underlying code.
Code trail showing the reasoning path through multiple files and references
Code trail across filesReasoning path shown as a chain of files and functions the answer relied on.

Throw the question that has been blocking the team at it

Start in the app, or get a guided walkthrough from our team.