Claims now flow through StemeDB's append-only knowledge graph instead of mutable TOML files. This resolves all 6 critical claim-bypass code paths: - Bridge: lossless AuthoredClaim ↔ Assertion round-trip (comparison, status, lifecycle mapping) - LocalEpisteme: ingest_authored_claim() and fetch_authored_claims() with AUTHORED_CLAIM predicate index - EpistemeClaimStore: ClaimStore trait backed by StemeDB (append-only delete via deprecation) - CLI handlers: all claim commands read/write through StemeDB - Scanner: loads claims from StemeDB with auto-migration fallback to TOML - Export: new `aphoria claims export` serializes StemeDB claims to TOML/JSON Also cleans up dead code (EpistemeConfig.url), renames ingest_claims→ingest_observations, fixes ClaimFilter.authority_tier type, adds Draft variant to ClaimStatus, and fixes pre-existing clippy warnings (too_many_arguments, filter_next→rfind). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
120 lines
5.2 KiB
Markdown
120 lines
5.2 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 (**LOCAL ONLY** -- no community aggregation server exists; promotion operates on the local machine only)
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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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