Source-linked codebase review and planning console

Reduce review and planning effort while keeping every claim traceable to source. For software teams maintaining a shared codebase with review and planning duties, convert repository history, pull requests, issues and team conventions into reviewer-approved code findings, specs and documentation linked to source. The benefit is a testable hypothesis, measured through accepted review findings per reviewer hour and rework after merge; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect repository history, pull requests, issues and team conventions, then follow this sequence: 1. Review code changes for bugs and anti-patterns. 2. Analyze the full codebase, not only the diff. 3. Map architecture and dependencies visually. Resolve uncertain cases with qualified reviewers, approve reviewer-approved code findings, specs and documentation linked to source, and measure accepted review findings per reviewer hour and rework after merge against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One repository language set and one approved review policy; final merge, security and architecture decisions remain with the engineering team. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve code ownership, source attribution, license accuracy and usage permissions. Engineering owners approve substantive changes and merge scope. One repository language set and one approved review policy; final merge, security and architecture decisions remain with the engineering team. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One repository language set and one approved review policy; final merge, security and architecture decisions remain with the engineering team. Implement one approved input format, a bounded representative case set and the first two task modules: review code changes for bugs and anti-patterns; analyze the full codebase, not only the diff. Support the third module with operator review: map architecture and dependencies visually. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Team-owned repositories, issue trackers and documentation sources. Cloud code storage, version-control import/export and project destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Repository and scope setup, Editable review and spec workspace, Team proof and delivery. Use a thumbnail gallery for repositories and change sets, a large central editing canvas, and a right-hand panel for source links, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a team preview link with comments anchored to the relevant file or line. Make the task-specific outcome reviewer-approved code findings, specs and documentation linked to source visible beside its evidence, review state and value baseline.