Roo Code Feature: Hunk-Level Review & Selective Code Staging for AI-Generated Changes

[Shaerif]

Context

Roo Code's multi-agent system generates changes across entire codebases efficiently. However, when Roo produces large diffs across multiple files, users need granular control to:

• Review exactly what each agent modified
• Selectively accept safe changes while questioning suspicious ones
• Stage approved changes separately for auditable deployment
• Apply atomically only the reviewed code, not everything

Current workflows lack this precision, creating friction for teams needing safety and transparency in AI-assisted development.

Proposal: Hunk-Level Review & Staging Interface

Introduce an interactive diff review system that lets users:

1. Inspect Changes Granularly

• View code changes at the hunk level (not just file-by-file)
• See which agent generated each change
• Highlight risky patterns (large deletions, logic changes) vs. safe ones (comments, formatting)

2. Approve/Reject Selectively

• Accept "good" hunks instantly → move to staging
• Reject "suspicious" hunks → keep as pending for manual edit
• Batch approve by file type or agent confidence score

3. Apply Staged Changes

• Review all staged hunks together before final commit
• Create a clean commit message summarizing the staged changes
• Option to push as a PR directly to a feature branch
• Rollback individual hunks if issues appear

4. Audit Trail & Transparency

• Log which hunks were accepted/rejected and by whom
• Show agent explanations for complex changes
• Track confidence scores (low confidence = requires review)

User Workflow Example

1. Roo runs refactoring across 10 files
   → All diffs appear in Review Panel as "Pending"

2. User filters by risk level
   → Sees 5 "high confidence" hunks and 3 "manual" hunks

3. Accepts the high-confidence ones
   → They move to "Staged" with green checkmarks

4. Reviews the 3 manual hunks
   → Edits 1 manually, rejects 1 as too aggressive, accepts 1

5. Stages the edited hunk
   → Now 9 hunks ready to commit

6. Clicks "Commit Staged" with a message
   → Creates clean atomic commit with only the reviewed code

Implementation Strategy

Phase 1 (MVP):

• File-level review + hunk grouping
• Accept/Reject buttons per file
• Staged commit creation

Phase 2:

• Hunk-level controls + confidence scoring
• Batch operations (accept all low-risk, etc.)
• Integration with agent metadata

Phase 3:

• Audit logs & compliance reports
• Team-wide policies (enforce review for certain agents)
• PR automation

Why This Matters for Roo Code

Roo's competitive advantage is speed + safety. A granular review system would:

• ✅ Build user confidence in multi-agent changes
• ✅ Enable compliance-friendly deployments
• ✅ Reduce manual QA cycles
• ✅ Create a transparent, auditable workflow
• ✅ Position Roo Code as the enterprise-ready AI coding platform

This is not just a UX improvement—it's a trust multiplier that unlocks Roo's potential for production use.

---

Related: Many teams want fine-grained control over AI-generated code. This feature would be a major differentiator and essential for wider adoption in regulated environments.

[wheelo]

cool