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Rivac AI Labs
Specialized & Cross-Industry Services

Codebase Archaeologist

When multiple developers use different AI coding assistants against the same codebase, the tools quietly diverge in the patterns, conventions, and assumptions they bake into the code, and nobody notices until two AI-assisted changes conflict in a way that's hard to explain. This service audits a codebase for exactly that kind of silent drift: comparing edits made across Claude, Cursor, Copilot, and Windsurf to find inconsistent patterns, duplicated logic solving the same problem differently, and convention divergence that's invisible in a normal code review. It's for engineering teams standardizing on multiple AI coding tools who suspect (but can't yet prove) that this is quietly costing them in maintainability. You get a concrete map of where the drift lives and a plan to reconcile it before it compounds.

This is a capability we deliver for you as a service, not a role we’re hiring for.

How We’d Approach This

A clear, staged plan, not a black box

These are the service-specific steps inside our six-step process.

  1. 1

    Diagnose which parts of the codebase have been touched by multiple AI tools and flag likely drift zones.

  2. 2

    Run a detailed drift audit on the highest-risk module, comparing patterns and conventions across tools.

  3. 3

    Review findings with the engineering team and prioritize which divergences actually matter.

  4. 4

    Deliver a reconciliation plan and updated conventions to prevent future drift.

What You Get

Deliverables from this engagement

  • A codebase drift map showing divergence by tool and module
  • A prioritized list of inconsistencies with real maintainability risk
  • A reconciliation plan for the highest-priority divergences
  • Updated coding conventions to prevent future multi-tool drift

Six Ways We Could Architect This

Different engagement, different build, pick the shape that fits

There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.

Read all 6 architectures as text

Lean Fast-Start Architecture

Intake

  • Client Repo Access Granted
  • Scoping Call
  • High Risk Modules Identified

Local Scan

  • Git Blame History Pull
  • Commit Author Tool Tagging
  • Pattern Fingerprint Script

Analysis

  • Claude Cursor Copilot Windsurf Buckets
  • Convention Divergence Notes
  • Draft Drift Map

Delivery

  • Engineering Review Session
  • Prioritized Drift List
  • Reconciliation Plan Document

Cloud-Native / Managed Services Architecture

Source Layer

  • Hosted Git Repository
  • Managed CI Pipeline
  • Cloud Code Analysis Service

Drift Detection Pipeline

  • Commit Metadata Extractor
  • AI Tool Signature Classifier
  • Managed Vector Store of Patterns
  • Convention Similarity Scoring

Managed Storage

  • Cloud Database of Findings
  • Module Risk Scorecard

Delivery Layer

  • Cloud Hosted Dashboard
  • Client Facing Drift Report
  • Scheduled Refresh Job

Event-Driven & Automation-First Architecture

Triggers

  • New Commit Pushed
  • Webhook to Drift Service
  • Pull Request Opened

Automation Layer

  • Auto Tool Attribution Job
  • Pattern Diff Engine
  • Duplicated Logic Detector
  • Auto Generated Drift Ticket

Review Gate

  • Drift Severity Above Threshold
  • Flag for Engineering Lead
  • Log to Drift Backlog

Delivery

  • Slack Alert to Team Channel
  • Weekly Drift Digest
  • Reconciliation Task Created

Enterprise-Grade & Compliance-Ready Architecture

Governance Layer

  • Engineering Standards Committee
  • Approved Coding Conventions
  • Access Controlled Repo Scanning

Secure Analysis

  • Read Only Service Account
  • Encrypted Findings Store
  • Role Based Reviewer Access

Auditable Process

  • Versioned Drift Reports
  • Change History Log per Module
  • Peer Review Checkpoint

Compliance Delivery

  • Signed Off Reconciliation Plan
  • Audit Export for Leadership
  • Retention Schedule for Findings

AI-Augmented, Human-in-the-Loop Architecture

Source Ingestion

  • Full Commit History
  • Tool Attributed Diffs

AI Analysis Layer

  • AI Pattern Comparison Engine
  • Draft Drift Classification
  • Draft Reconciliation Suggestions

Human in the Loop

  • Senior Engineer Review Session
  • Findings Accurate and Actionable
  • Flag False Positives to Model
  • Human Approved Drift Report

Delivery

  • Prioritized Fix List
  • Client Facing Reconciliation Plan
  • Updated Conventions Published

Integration-Heavy / Ecosystem-Connected Architecture

Client Systems

  • GitHub GitLab or Bitbucket
  • Jira or Linear Issue Tracker
  • Slack or Teams Workspace

Drift Detection Core

  • Multi Tool Attribution Engine
  • Convention Divergence Model
  • Module Risk Registry

Two Way Sync Layer

  • Auto Filed Tickets in Tracker
  • PR Comments on Flagged Diffs
  • Sprint Planning Board
  • Code Owners Notified

Shared Governance

  • Joint Review with Tech Leads
  • Updated Conventions in Repo Wiki

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Ready to get started?

Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start, scoped small enough to prove itself before you commit to anything bigger.

Talk to us about Codebase Archaeologist

Most engagements like this start as a $500–$2,500 pilot, see full pricing.

Questions? Book a free call