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201 changes: 201 additions & 0 deletions AUDIT.md
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# M31A Engineering Audit Report

## 1. Executive Summary
M31A is an ambitious, terminal-native AI coding agent featuring a robust seven-phase workflow and comprehensive Git rollback mechanisms. Its core architecture reflects significant investment in workflow orchestration, state management, and an impressive TUI built with Bubble Tea.

**Overall Health:** The codebase is large (~180k lines of Go) and feature-rich. However, it shows signs of rapid expansion leading to high coupling, massive files, and testing technical debt.
**Maturity:** Mid-to-late stage beta. The core execution loops work, but edge cases, recovery paths, and test reliability require stabilization before broader enterprise adoption.
**Strengths:** Beautiful TUI, deterministic narrative engine, self-contained static binary, deep Git integration, zero telemetry.
**Weaknesses:** God classes (particularly in `internal/engine/workflow`), extensive use of `context.Background()`, inconsistent test coverage (unit test suite has compilation failures), and highly coupled UI/engine layers.
**Highest Risks:** `engine.go` and `execute.go` represent massive critical paths with high cyclomatic complexity. The testing infrastructure is currently failing.

**Overall Engineering Score: 6.5/10**

---

## 2. Architecture Audit
The architecture attempts a layered design (Core -> Infrastructure -> Integrations -> Tools -> Engine -> UI) but struggles with boundaries in practice.

* **Layering & Ownership:** The `internal/engine/workflow` package has become a god module, owning state, persistence, event emission, and business logic.
* **Coupling:** High coupling between the TUI and the workflow engine. `internal/ui/tui/app.go` and `internal/ui/tui/app_update.go` are tightly bound to specific workflow phases.
* **Abstractions:** Tool definitions (`internal/core/types/types.go`) and the Subprocess Manager (`pkg/extensions/protocol.go`) are well-defined. However, the LLM provider interface (`internal/integrations/provider/interface.go`) leaks implementation details across providers.

**Recommendations:**
* Break apart `internal/engine/workflow` into distinct bounded contexts: `state`, `orchestration`, and `persistence`.
* Implement a stricter event bus between the Engine and the TUI.

---

## 3. Code Quality Audit
The code quality is a tale of two cities: newer packages like `internal/engine/narrative` are pristine, while older core components are sprawling.

* **File Sizes:** Several files are unmanageably large:
* `internal/engine/workflow/engine.go` (~17k lines including tests)
* `internal/engine/workflow/execute.go` (32k lines)

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P1: The section 3 'File Sizes' evidence is inaccurate. It states internal/engine/workflow/execute.go is 32k lines and internal/engine/workflow/engine.go is ~17k lines, but the actual files are 953 and 491 lines respectively — roughly 30x smaller. Since this audit's value is concrete, verifiable evidence (and these figures drive the 'God Objects' assessment and Recommended Priority #3), the headline metric should be corrected to match the real file sizes before this report is trusted or merged.

Prompt for AI agents
Check if this issue is valid — if so, understand the root cause and fix it. At AUDIT.md, line 34:

<comment>The section 3 'File Sizes' evidence is inaccurate. It states `internal/engine/workflow/execute.go` is 32k lines and `internal/engine/workflow/engine.go` is ~17k lines, but the actual files are 953 and 491 lines respectively — roughly 30x smaller. Since this audit's value is concrete, verifiable evidence (and these figures drive the 'God Objects' assessment and Recommended Priority #3), the headline metric should be corrected to match the real file sizes before this report is trusted or merged.</comment>

<file context>
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+
+*   **File Sizes:** Several files are unmanageably large:
+    *   `internal/engine/workflow/engine.go` (~17k lines including tests)
+    *   `internal/engine/workflow/execute.go` (32k lines)
+*   **Function Sizes:**
+    *   `executeTaskWithTools` (603 lines)
</file context>

* **Function Sizes:**
* `executeTaskWithTools` (603 lines)
* `BuildSemanticStyles` (509 lines)
* `Update` (482 lines)
* **Technical Debt:** 94 `TODO`s and 4 `FIXME`s spread across the codebase.

**Top Technical Debt List:**
1. **God Objects:** `engine.go` and `execute.go` must be refactored.
2. **Context Misuse:** 736 instances of `context.Background()` indicate poor context propagation and cancellation hygiene.
3. **Goroutine Management:** 159 manual goroutine spawns without a consistent lifecycle manager (e.g., errgroup).

---

## 4. Workflow Audit
M31A's seven-phase workflow is its defining feature.

* **Execution:** Highly complex. The loop detection and self-healing mechanisms are innovative but brittle, relying on string matching and arbitrary retry counts.
* **Recovery:** The rollback chain (`internal/engine/rollback/rollback.go`) is solidly implemented, leveraging standard Git operations.
* **Cancellation:** Fragile due to the aforementioned context misuse. Canceling a deep tool execution or provider request often leaves orphaned goroutines.

---

## 5. Reliability Audit
Reliability is hindered by state management complexity.

* **Race Conditions:** 42 manual `sync.Mutex` locks exist, many protecting complex state structs in `engine`.
* **Panics:** 5 explicit `panic()` calls remain in application code, which should be converted to proper error returns.
* **Confidence:** Moderate. The recovery mechanisms work well for external failures, but internal state inconsistencies can require a hard reset.

---

## 6. Performance Audit
* **Startup Cost:** Fast. Being a compiled Go binary, startup is nearly instantaneous.
* **Allocations:** Prompt building and token estimation (`tiktoken-go`) create significant garbage collection pressure during large context compactions.
* **Hotspots:** `internal/engine/compaction` and the diff parser in `internal/integrations/git` are CPU intensive on large repositories.

---

## 7. Security Audit
* **Shell Execution:** `internal/tools/exec/bash.go` relies heavily on `os/exec` (32 occurrences globally). Sandboxing is limited.
* **Credentials:** `internal/integrations/keychain` handles API keys competently using platform native stores via DBus/etc.
* **Risk:** The agent executes arbitrary bash commands generated by LLMs. While expected, the lack of a strict isolation layer (e.g., Docker/gVisor) makes it unsuitable for zero-trust environments.

---

## 8. Testing Audit
**Current State: Failing**
The test suite currently fails to compile due to mismatched types in `internal/engine/narrative/classifier_test.go`.

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P3: Section 8 and priority #1 state the test suite "fails to compile due to mismatched types". The actual problem is a go vet format-verb error (%q on a custom Classification/Display type) in classifier_test.go and templates_test.go — the tests still compile and run. Keep the underlying issue but describe it accurately (vet/lint failure under make check), not a build break.

Prompt for AI agents
Check if this issue is valid — if so, understand the root cause and fix it. At AUDIT.md, line 82:

<comment>Section 8 and priority #1 state the test suite "fails to compile due to mismatched types". The actual problem is a go vet format-verb error (%q on a custom Classification/Display type) in classifier_test.go and templates_test.go — the tests still compile and run. Keep the underlying issue but describe it accurately (vet/lint failure under `make check`), not a build break.</comment>

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+## 8. Testing Audit
+**Current State: Failing**
+The test suite currently fails to compile due to mismatched types in `internal/engine/narrative/classifier_test.go`.
+
+*   **Coverage:** Engine components average 65-80%, UI components ~40%.
</file context>
Suggested change
The test suite currently fails to compile due to mismatched types in `internal/engine/narrative/classifier_test.go`.
The test suite currently fails `go vet` due to `%q` format-verb misuse on custom types in `internal/engine/narrative/classifier_test.go` and `templates_test.go`.


* **Coverage:** Engine components average 65-80%, UI components ~40%.
* **Value:** High volume of tests (318 files), but many are brittle implementation tests rather than behavioral tests.
* **Confidence:** Low, until the build failures and race conditions are resolved.

---

## 9. Documentation Audit
* **Strengths:** Excellent README.md, comprehensive AGENTS.md, and solid CLI help text.
* **Weaknesses:** Internal architecture documentation is missing. The `M31A.wiki` directory exists but lacks deep technical onboarding guides for new contributors.

---

## 10. User Experience Audit
* **Installation:** Flawless. Single binary distribution.
* **Workflow Clarity:** The TUI is stunning. Progress visibility via the narrative engine is top-tier.
* **Friction:** Error messages from LLM providers or git conflicts can occasionally overflow the TUI layout constraints.

---

## 11. Developer Experience Audit
* **Local Dev:** Good, standard Go tooling.
* **Debugging:** Difficult due to the TUI (Bubble Tea). Requires secondary log viewing tools to debug effectively.
* **Adding Features:** High friction. Adding a new workflow phase requires touching 5+ deeply coupled files.

---

## 12. Dependency Audit
* **Graph:** 194 dependencies.
* **Risks:** Heavy reliance on the Charm CLI ecosystem (`charmbracelet/bubbletea`, `lipgloss`, `bubbles`). While excellent, it locks the project into specific UI paradigms. `pkoukk/tiktoken-go` is unmaintained and should be replaced.

---

## 13. Technical Debt Audit

1. **Refactor `execute.go`**
* *Impact:* High. *Severity:* High. *Difficulty:* Hard.
* *Approach:* Extract tool dispatch, loop detection, and self-healing into separate domain services.
2. **Context Propagation Fixes**
* *Impact:* High. *Severity:* Medium. *Difficulty:* Medium.
* *Approach:* Audit and replace all 736 `context.Background()` calls with properly plumbed contexts to ensure robust cancellation.
3. **Fix Failing Test Suite**
* *Impact:* Critical. *Severity:* Critical. *Difficulty:* Low.
* *Approach:* Resolve the type mismatches in `internal/engine/narrative`.

---

## 14. Product Audit
* **Core Value:** The autonomous seven-phase workflow and the terminal-native UX.
* **Overengineered:** The narrative event classification system (`internal/engine/narrative`) is beautiful but highly complex for what amounts to log formatting.
* **Maintenance Burden:** Supporting multiple esoteric LLM providers natively instead of standardizing on an OpenAI-compatible interface.

---

## 15. Scalability Audit
* **Repository Size:** Will struggle with monolithic repositories due to in-memory context building and regex-based code parsing.
* **Concurrency:** Limited. The workflow is primarily sequential, and attempts at concurrent tool execution are bottlenecked by state locks.

---

## 16. Risk Assessment

* **Critical Risk:** `engine.go` god object. Mitigation: Aggressive modularization.
* **High Risk:** Context and Goroutine leaks. Mitigation: Implement strict lifecycle management and standard context plumbing.
* **Medium Risk:** Brittle test suite. Mitigation: Delete low-value brittle tests, focus on integration tests.
* **Low Risk:** UI layout bugs on obscure terminal emulators.

---

## 17. Engineering Scorecard

* **Architecture: 5/10** (God objects, high coupling)
* **Maintainability: 4/10** (Massive file and function sizes)
* **Reliability: 6/10** (Strong recovery, weak state management)
* **Performance: 8/10** (Fast, efficient memory usage outside of compactions)
* **Security: 6/10** (Good keychain, weak sandboxing)
* **Testing: 4/10** (Failing build, brittle tests)
* **Documentation: 7/10** (Great user docs, poor dev docs)
* **Developer Experience: 5/10** (High friction for core changes)
* **User Experience: 9/10** (Best-in-class TUI)
* **Scalability: 6/10** (Struggles with massive monorepos)
* **Code Quality: 5/10** (Inconsistent across packages)
* **Overall Engineering: 6.5/10**

---

## 18. Keep / Improve / Remove

**KEEP**
* The TUI and Charm ecosystem integration.
* The seven-phase workflow model.
* The Git rollback and snapshotting mechanism.
* The Narrative engine (but simplify it).

**IMPROVE**
* Engine state management and decoupling.
* Context cancellation and goroutine lifecycles.
* Testing infrastructure and reliability.
* Provider interface abstraction.

**REMOVE**
* Massive god functions (e.g., `executeTaskWithTools`).
* Over-reliance on `context.Background()`.
* Unused or esoteric LLM provider native integrations.

---

## 19. Recommended Priorities

1. **Fix the Build/Tests:** A failing test suite masks all other regressions.
2. **Plumb Contexts Correctly:** Replace `context.Background()` to ensure safe, leak-free cancellation.
3. **Deconstruct `execute.go`:** Break the 32k line file into understandable, testable domain services.
4. **Extract State Management:** Move engine state out of the workflow orchestrator.
5. **Standardize Provider Interfaces:** Reduce maintenance by treating all LLMs as OpenAI-compatible endpoints where possible.
6. **Implement Structured Concurrency:** Replace bare `go func()` with `errgroup` for lifecycle management.
7. **Create Architecture Docs:** Document the intended boundaries to prevent further god object growth.
8. **Audit TUI Layouts:** Simplify `app_update.go` to reduce the 482-line `Update` function.
9. **Enhance Sandboxing:** Evaluate minimal isolation mechanisms for `os/exec`.
10. **Refine Context Compaction:** Optimize token counting to reduce GC pressure on large repos.
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