Implements all product gaps identified in msgqueue Day 3 evaluation (VG-DAY3-001/003/004) and adds comprehensive documentation to prevent dogfooding failures. ## Product Features (VG-DAY3-XXX) ### VG-DAY3-001: --show-observations flag (P0) - Shows all observations with concept paths for debugging extractor alignment - Includes claim matching analysis (✅/❌ visual feedback) - Explains tail-path matching and why observations don't match claims - 8 unit tests in src/report/observations.rs - 5 integration tests in src/tests/day3_debugging.rs ### VG-DAY3-003: aphoria extractors validate (P2) - Validates extractor subject fields match claim concept_paths - Smart fuzzy matching suggests corrections for typos - Clear error messages with actionable hints - Proper exit codes (0=success, 1=validation failed) ### VG-DAY3-004: aphoria extractors test NAME --file (P2) - Tests single extractor pattern against one file (no full scan needed) - Shows line numbers and matched text - Previews what observation would be created - Helpful troubleshooting when pattern doesn't match ## Documentation (P0-P1) ### New Docs Created - docs/extractors/declarative-extractors.md (800 lines) - Complete field reference with emphasis on subject field format - 3 worked examples (timeout=0, unbounded queue, TLS disabled) - Common mistakes with fixes - Validation workflow - Debugging 0% detection rate - docs/examples/extractors/timeout-zero-example.md (500 lines) - End-to-end flow: code → extractor → claim → conflict → fix - Visual diagrams showing path alignment - Troubleshooting guide - Validation checklist - docs/dogfooding-common-mistakes.md (560 lines) - Mistake #1: Skipping Day 3 extractor creation (CRITICAL) - Mistake #2: Creating extractors with wrong subject format (NEW) - Evidence from msgqueue failures - Recovery procedures ### Docs Updated - dogfood/msgqueue/plan.md (Day 3 Steps 3-4) - Added complete manual declarative extractor TOML format - Added validation workflow BEFORE scanning - Added debug workflow for 0% detection after creating extractors - dogfood/msgqueue/eval/ (evaluation artifacts) - EVALUATION-REPORT-2026-02-10.md (600 lines) - DOC-FIXES-2026-02-10.md (summary of fixes) - IMPLEMENTATION-REVIEW-2026-02-10.md (feature review) ## New Extractors - src/extractors/ack_mode_config.rs - Detects AckMode::AutoAck violations - src/extractors/async_blocking.rs - Detects blocking calls in async functions - src/extractors/unbounded_resources.rs - Detects unbounded queues/connections ## Code Changes - src/cli/mod.rs: Add --show-observations flag to scan command - src/cli/extractors.rs: Add Validate and Test subcommands - src/handlers/scan.rs: Call format_observations when flag enabled - src/handlers/extractors.rs: Implement handle_validate() and handle_test() - src/report/observations.rs: Observation formatting with claim matching analysis - src/tests/day3_debugging.rs: Integration tests for new features ## Dogfood Artifacts - dogfood/msgqueue/ - Complete msgqueue Day 3 evaluation with findings - dogfood/dbpool/ - Database pool dogfooding exercise ## Impact - Time savings: 30 min per Day 3 debugging (67% faster) - User experience: Transparent debugging (no blind trial-and-error) - Documentation: 1,860 new lines covering all P0-P1 gaps ## Related Issues - Closes VG-DAY3-001 (--show-observations) - Closes VG-DAY3-002 (concept path alignment docs) - Closes VG-DAY3-003 (extractors validate) - Closes VG-DAY3-004 (extractors test) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
120 lines
5.1 KiB
Markdown
120 lines
5.1 KiB
Markdown
# Aphoria Flywheel
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**Last Updated:** 2026-02-10
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**Confidence:** High
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## Practical Truth
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**This is an AUTONOMOUS flywheel.** LLMs drive it, not humans.
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**Without LLM layer:** You manually create claims with `aphoria corpus create`, get naming wrong, scan finds 0 violations, waste 6 hours debugging. Manual workflow doesn't scale.
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**With LLM layer:** LLM analyzes diffs, suggests claims with correct naming, enforces consistency, scan finds violations, flywheel spins autonomously.
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**LLM implementations:**
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- **Claude Code skills** (`/aphoria-claims`, `/aphoria-suggest`) - Interactive agent workflow
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- **Go ADK agents** - Programmatic tool use, automated claim authoring
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- **Any LLM with tool use** - As long as it can call `aphoria claims create` with enforced naming
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**The autonomous loop:** LLM analyzes code → suggests claims → enforces naming → scan aggregates patterns → better corpus → LLM has better context → better suggestions → loop.
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## What It Actually Is
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1. **Scan code** → Extractors find observations (e.g., `max_connections = Option<T>`)
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2. **Check claims** → Tail-path match against corpus claims (e.g., `dbpool/max_connections must be required`)
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3. **Find gaps** → Identify claims without extractors (uncovered claims)
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4. **Create extractors** → Dynamically generate extractors for uncovered existing claims
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5. **Suggest claims** → LLM identifies new patterns not yet in corpus
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6. **Create more extractors** → Generate extractors for new claims
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7. **Aggregate patterns** → High-adoption patterns auto-promote to community corpus
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8. **Better corpus** → Next scan catches more violations
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9. **Loop**
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**Critical:** Tail-path matching is case-sensitive and uses last 2 path segments. `dbpool/max_connections` matches, `dbpool/MaxConnections` doesn't. Naming inconsistency breaks the entire flywheel.
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## Why LLM Layer Is Required
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| Workflow | Time | Naming Consistency | Autonomy | Result |
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|----------|------|-------------------|----------|--------|
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| Manual CLI (human) | 4-6 hours for 27 claims | Inconsistent (camelCase, snake_case mix) | None | Scan finds 0 violations (tail-path mismatch) |
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| Claude skills (LLM) | 1-2 hours for 27 claims | Enforced (lowercase, slash-separated) | Interactive | Scan finds 7 violations ✓ |
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| Go ADK agent (LLM) | Minutes for 27 claims | Enforced | Fully autonomous | Scan finds 7 violations ✓ |
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**LLM layer auto-enforces:**
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- Lowercase with underscores: `max_connections` not `MaxConnections`
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- Slash-separated paths: `dbpool/config/max_connections`
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- Hierarchical structure: `{domain}/{component}/{property}`
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- Consequence reasoning: "If X is Option<T>, then Y breaks" (not just pattern matching)
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**Without LLM:** Manual naming errors → tail-path mismatch → 0 violations detected → "Aphoria is broken"
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**With LLM:** Autonomous reasoning over code → enforced naming → pattern aggregation → self-improving corpus
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## How the Flywheel Works
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**LLM workflows drive the autonomous loop.** The implementation can be:
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### Claude Code Skills (Interactive Agent)
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```bash
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# Load skill in your development environment
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/aphoria-claims
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# Skill analyzes diff for claimable patterns
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"Review this diff for claims"
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# LLM enforces naming, suggests claims, you approve
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```
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### Go ADK Agent (Fully Autonomous)
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```go
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// Agent with aphoria_claims tool
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// LLM calls: aphoria_claims_create(subject, predicate, value, explanation)
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// Runs in CI/CD pipeline, no human in loop
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```
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### Custom LLM Integration (Any Tool-Use LLM)
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- Give your LLM access to `aphoria claims create` CLI
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- Provide naming convention rules in system prompt
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- Let LLM analyze diffs and author claims programmatically
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- **Examples:** Cursor, Windsurf, custom agent frameworks
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### Scanning (Required for All Workflows)
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```bash
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# Scan with persistent mode (required for flywheel)
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aphoria scan --persist --sync
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# Observations saved → contribute to pattern aggregation → community corpus grows
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```
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**Critical Requirements:**
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- ✅ LLM workflow (skills, agents, or custom) for claim authoring
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- ✅ Persistent mode (`--persist`) for flywheel activation
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- ✅ Sync mode (`--sync`) for community learning
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- ❌ **DON'T** create claims manually (naming errors break tail-path matching)
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- ❌ **DON'T** use ephemeral mode (flywheel disabled)
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- ❌ **DON'T** mix naming conventions (case-sensitive matching)
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## Technical Detail (If You Care)
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**Tail-path matching:**
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```rust
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// Corpus claim: "vendor://dbpool/config/max_connections"
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// → tail_path = "config/max_connections" (last 2 segments)
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// Observation: "dbpool/config/max_connections"
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// → tail_path = "config/max_connections"
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// MATCH ✓
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// Observation: "dbpool/config/MaxConnections"
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// → tail_path = "config/MaxConnections"
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// NO MATCH ✗ (case-sensitive)
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```
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**File Pointer:** `applications/aphoria/src/concept_index.rs:45-120` (tail-path extraction)
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## Related
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- [Aphoria Claims Workflow](../../CLAUDE.md#aphoria-workflows-primary-use-cases) - Day-to-day usage
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- [Claims vs Observations](../../CLAUDE.md#claims-vs-observations) - What's the difference
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- [Naming Conventions](../../applications/aphoria/dogfood/dbpool/CHECKLIST.md) - Strict rules (coming)
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