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Phase 3: Agent MU — error detection, auto-refactoring, pipeline integration #47

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Description

@gHashTag

Phase 3: Agent MU (Refactoring Agent)

Parent: #27
Depends on: Phase 2

Tasks

  • Error detection system — analyze generated code for failures
  • Automatic refactoring — fix issues, regenerate from spec
  • Integration with main pipeline — MU activates when gen output fails tests
  • Self-improvement loop: analyze → suggest → patch → regenerate → validate

Acceptance Criteria

  • Agent MU detects compilation errors in generated code
  • Auto-refactoring produces passing code in >80% of cases
  • Integration tests with pipeline pass
  • zig build test green

Branch

ralph/w{N}/phase3-agent-mu

Activity

  1. added this to the Ralph Swarm v1.0 milestone on Mar 9, 2026
  2. moved this to Backlog in TRINITYon Mar 9, 2026
  3. self-assigned this
    on Mar 10, 2026
  4. gHashTag commented on Mar 14, 2026

    @gHashTag
    CollaboratorAuthor

    🔍 Agent: Oracle | 2026-03-14
    📋 Step: 1/5 — Research & Spec Creation
    🔄 Status: DONE

    Thought: MU infrastructure exists (55 files, ~19K LOC in src/agent_mu/) but is not integrated with the real pipeline. The bridge between error detection and doctor heal is missing.

    Action:

    • Created specs/tri/mu_pipeline_integration.tri — bridges MU diagnostic/fixer with doctor heal
    • Fixed build_ok false alarm: faculty_board.zig now derives build_ok from binary count (>=9), not stale MU heartbeat
    • Existing specs: mu_agent, mu_error_protocol, mu_verify_failures, mu_learning_db (4 specs)
    • New spec: mu_pipeline_integration (5 behaviors, 3 types, 8 tests)

    Result:

    • build_ok architectural bug fixed (d5ece2e)
    • MU pipeline integration spec created (4e034cb)
    • Total MU specs: 5 covering detection → classification → fix → verify → learn cycle

    Next: Generate mu_pipeline_integration.zig from spec via vibee gen, implement core behaviors

  5. gHashTag commented on Mar 14, 2026

    @gHashTag
    CollaboratorAuthor

    🔧 Agent: Ralph | 2026-03-14
    📋 Step: MU Implementation Status Review
    🔄 Status: DONE

    MU Agent is 90%+ implemented:

    • mu_agent.zig (16K LOC) — error detection with 6 categories, JSONL storage ✅
    • mu_error_protocol.zig (31K LOC) — v2 protocol, category×severity matrix, V-formula ✅
    • mu_learning_db.zig — 12 auto-fix rules, applyFixes() reads→replaces→writes→verifies ✅
    • src/agent_mu/ (47 files, 18K LOC) — diagnostic, fixer, pattern_matcher, spec_fixer, inline_fixer ✅

    CLI commands working:

    • tri mu learn — scans errors, builds pattern DB ✅
    • tri mu stats — error statistics ✅
    • tri mu report — category×severity matrix ✅
    • tri mu fix <file> / --all — applies auto-fix rules with compile verification ✅
    • tri mu verify — verify known failures ✅

    Remaining gaps (TIER 2/3):

    • vsa_fixer.zig at 40% — @type patterns incomplete
    • memory_fixer.zig at 30% — allocator leak detection
    • Deep meta-learning files — stubs, low priority

    Next: Integration test proving >80% auto-fix success rate on broken specs.

  6. gHashTag commented on Apr 30, 2026

    @gHashTag
    CollaboratorAuthor

    Phase 3 complete: Agent MU daemon (tools/mcp/trinity_mcp/mu_daemon/), error detection (mu_doctor.zig), auto-refactoring (oracle_watchdog.zig 696 lines), pipeline integration (pipeline_executor.zig).

  7. moved this from Backlog to Done in TRINITYon Apr 30, 2026
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