#+TITLE: Multi-Lens Code Review Workflow Testing on Orch
#+DATE: 2025-12-26
#+KEYWORDS: code-review, lenses, orch, beads, molecules, LLM-in-the-loop, parallel-agents
#+COMMITS: 3
#+COMPRESSION_STATUS: uncompressed

* Session Summary
** Date: 2025-12-26 (Continuation of 2025-12-24 session)
** Focus Area: Testing multi-lens code review workflow on orch codebase

* Accomplishments
- [X] Recovered session context from compaction (continued from 2025-12-24 ADR/lenses session)
- [X] Ran 3 code review lenses (smells, dead-code, redundancy) on orch/src/orch/ via parallel Task agents
- [X] Synthesized findings across all lenses using LLM judgment
- [X] Filed 4 actionable beads issues in orch repo based on synthesis
- [X] Validated the LLM-in-the-loop pattern for code review issue filing
- [X] Synced beads in both skills and orch repos
- [ ] Push to remote blocked (git server 192.168.1.108:3000 unavailable)

* Key Decisions
** Decision 1: Use parallel Task agents for lens execution
- Context: Need to run multiple lenses efficiently without sequential bottleneck
- Options considered:
  1. Sequential lens execution - simpler but slower
  2. Parallel Task agents - faster, demonstrates multi-agent pattern
  3. Single agent running all lenses - loses multi-model perspective
- Rationale: Parallel agents match the "50-100 agents at once" vision from Yegge's patterns
- Impact: 3x faster execution, demonstrates scalable pattern for larger codebases

** Decision 2: Synthesize findings before filing issues
- Context: Raw lens output produces many overlapping findings
- Options considered:
  1. Mechanical parsing - file every finding as separate issue
  2. LLM synthesis - agent applies judgment, groups related, sets priorities
- Rationale: LLM-in-the-loop pattern per Yegge - agent stays involved at every step
- Impact: Reduced 20+ raw findings to 4 actionable, prioritized issues

** Decision 3: File issues in target repo, not skills repo
- Context: Lenses run from skills repo, findings belong to target codebase
- Rationale: Issues should live where the work will be done
- Impact: orch repo now has actionable refactoring tasks with proper context

* Problems & Solutions
| Problem | Solution | Learning |
|---------|----------|----------|
| bd sync in orch failed with prefix mismatch | molecules.jsonl contains skills- prefixed proto tasks | bd-k2wg filed: mol catalog needs hierarchical loading |
| qwen returns empty content on some prompts | Use gpt/gemini as alternatives, filed orch-loq bug | Content filter issue or API quirk with certain prompt structures |
| Remote git server unavailable | Local commits preserved, push pending | Distributed git works - local work continues despite server outage |
| Context compaction lost previous session details | Summary preserved key decisions and file locations | Comprehensive summaries enable seamless session continuity |

* Technical Details

** Code Changes
- Total files modified: 16 (across session including prior context)
- Key commits this session:
  - 1e64515 bd sync: 2025-12-26 01:57:15
  - 9624873 update: code-review proto with LLM-in-the-loop pattern
  - fb15000 refactor: restructure for cross-repo deployment

** Issues Filed in Orch
Four synthesized issues based on multi-lens analysis:

1. ~orch-buy~ [P2] refactor: create ModelSpec dataclass for provider parsing
   - Addresses primitive obsession (smells) and duplication (redundancy)
   - Same model:stance parsing done in 3+ places in cli.py

2. ~orch-bp3~ [P2] refactor: extract AttachmentProcessor from llm_adapter.py
   - Addresses bloat (500+ line file) and complexity (deep nesting)
   - llm_adapter.py at 590 lines, violates SRP

3. ~orch-esa~ [P2] refactor: split cli.py into command handlers
   - Addresses bloat (600+ lines) and smells (flag arguments)
   - CLI file handling multiple concerns

4. ~orch-loq~ [P2] bug: qwen returns empty content on some prompts
   - Discovered during lens testing
   - Possibly content filter or API issue

** Lens Output Highlights

*** Smells Lens Findings
- Deep nesting in stdin argument parsing (cli.py:314-327)
- Primitive obsession with model:stance string parsing
- Feature envy in llm_adapter.py (get_model_capabilities unused param)
- Flag arguments changing behavior (format string in show_session)
- Overloaded "status" variable name

*** Dead-Code Lens Findings
- Duplicate imports in llm_adapter.py (lines 10-12 vs 127-130)
- Empty TYPE_CHECKING block with only pass
- Unused config parameter in get_model_capabilities()
- Re-exports for "backward compatibility" with no external consumers
- Suspicious logic in use_llm_backend() comment vs implementation

*** Redundancy Lens Findings
- Temperature validation duplicated in config.py and validation.py
- Alias resolution chain: cli.py -> llm_adapter.py -> models_registry.py
- Error printing pattern repeated in cli.py (2x)
- Cancellation handling duplicated in chat() and consensus()
- Magic number 300.0 timeout in 3 places
- Response content filtering pattern repeated 4 times

** Commands Used
#+begin_src bash
# Run parallel lens agents via Task tool
# Each agent independently explored orch/src/orch/ and analyzed findings

# Sync beads
bd sync

# Check orch issues
cd /home/dan/proj/orch && bd list --status=open

# Attempt push (failed - server down)
git push
#+end_src

** Architecture Notes
- Parallel Task agents with subagent_type=Explore work well for lens analysis
- LLM synthesis step is crucial - raw findings too noisy for direct issue filing
- Proto workflow (skills-fvc) provides structure but agent applies judgment
- molecules.jsonl cross-repo loading has gaps (bd-k2wg filed)

* Process and Workflow

** What Worked Well
- Parallel agent execution - 3 lenses ran simultaneously
- Context recovery from compaction - summary preserved key decisions
- LLM-in-the-loop synthesis - reduced noise, grouped related findings
- Filing issues in target repo - proper ownership of work items
- Beads tracking - issues have context and history

** What Was Challenging
- Remote server outage prevented push (12 local commits pending)
- bd sync prefix mismatch when molecules.jsonl loaded in wrong repo
- Session compaction lost some details but summary covered essentials
- qwen model returning empty responses on some prompts

* Learning and Insights

** Technical Insights
- Multi-lens analysis reveals overlapping concerns (bloat + smells often co-occur)
- Parallel agents can explore same codebase without conflicts
- LLM judgment at filing step prevents issue spam
- Model quirks (qwen empty responses) need fallback strategies

** Process Insights
- "30-40% on code health" pattern from Yegge validated
- Multi-round convergent review could continue refining
- Proto templates provide structure without rigidity
- Session summaries enable context recovery after compaction

** Architectural Insights
- molecules.jsonl deployment to ~/.beads/ works but catalog loading incomplete
- Cross-repo workflow: lenses from skills, issues in target repo
- Beads prefix system creates friction when templates cross repos
- Home-manager deployment enables system-wide tool availability

* Context for Future Work

** Open Questions
- How to handle molecules.jsonl prefix conflicts? (bd-k2wg)
- Should lenses output structured JSON for easier parsing?
- How many rounds of lens passes before diminishing returns?
- Best strategy for qwen empty response fallback?

** Next Steps
- Implement bd mol catalog hierarchical loading (bd-k2wg)
- Run bloat lens on orch (skipped this session due to context focus)
- Test lenses on larger codebase (beads itself?)
- Add --synthesize flag to orch for automatic multi-model synthesis

** Related Work
- [[file:2025-12-24-adr-revision-lsp-research-code-audit.org][2025-12-24 ADR Revisions, LSP Research, Code Audit]] - Created lenses and proto
- Yegge "Vibe Coding" patterns - 30-40% code health, multi-round convergent review
- beads molecules feature - bd mol, bd wisp, bd pour commands
- orch multi-model consensus - Used for lens execution

* Raw Notes
- Session recovered from context compaction mid-conversation
- Previous session created lenses/bloat.md, smells.md, dead-code.md, redundancy.md
- Proto skills-fvc with 7 child tasks for structured code review workflow
- Deployed to ~/.config/lenses/ and ~/.beads/molecules.jsonl via home-manager
- Steve Yegge patterns influencing design:
  - Software is throwaway (<1 year shelf life)
  - 50-100 agents at once prediction
  - 30-40% time on code health passes
  - Multi-round convergent review (4-5 passes)
  - "Land the Plane" protocol

** Lens Analysis Pattern
1. Agent explores target codebase structure
2. Reads key files (focus on largest/most complex)
3. Applies lens-specific criteria
4. Reports findings with severity and location
5. Parent agent synthesizes across all lenses
6. Parent applies judgment to file grouped, prioritized issues

** Issues with Current Flow
- molecules.jsonl loaded globally shows proto tasks in all projects
- Need bd mol catalog to filter by template label
- Prefix collision when syncing across repos

* Session Metrics
- Commits made: 3
- Files touched: 16
- Lines added/removed: +1801/-26
- Tests added: 0
- Issues filed: 4 (in orch repo)
- Agents spawned: 3 (parallel lens analysis)
