## Problem CLI-created community corpus items (tier 3) were stored correctly but invisible via API queries. Two issues blocked discoverability: 1. **Prefix mismatch**: API hardcoded 'community://pattern/' for aggregated patterns, but CLI creates 'community://rust/http/...' URIs 2. **Query parameter parsing**: Axum's default parser doesn't support bracket notation (?sources[]=value) used by the dashboard Result: 0/22 CLI-created items were queryable. ## Solution ### Fix 1: Broaden Community Prefix - Changed: 'community://pattern/' → 'community://' in corpus handler - Impact: Now matches both aggregated patterns AND CLI-created items - Backward compatible: Broader prefix includes narrower results ### Fix 2: Add QsQuery Extractor - Added: serde_qs dependency + custom QsQuery extractor - Supports: Bracket notation for array parameters (?sources[]=a&sources[]=b) - Compatible: Works with JavaScript URLSearchParams standard - Tested: 3 new unit tests for extractor behavior ## Verification - ✅ All 22 CLI-created community items now queryable (was 0) - ✅ Source filtering works: community (22), RFC (2), vendor (5) - ✅ Multi-source queries work: ?sources[]=community&sources[]=rfc → 24 - ✅ All 89 API tests pass + 3 new extractor tests - ✅ Clippy clean (0 warnings) - ✅ No regressions in existing functionality ## Files Changed - crates/stemedb-api/Cargo.toml: Add serde_qs dependency - crates/stemedb-api/src/extractors.rs: New QsQuery extractor (117 lines) - crates/stemedb-api/src/handlers/aphoria/corpus.rs: Use QsQuery, broaden prefix - crates/stemedb-api/src/lib.rs: Export extractors module Also includes: Scale-adaptive thresholds, wiki corpus extraction, documentation updates, and dashboard UI improvements from prior work. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Scale-Adaptive Promotion Thresholds
Overview
Scale-adaptive thresholds automatically adjust promotion criteria based on organization size, enabling small teams to see value immediately while maintaining quality gates for larger organizations.
The Problem
Before adaptive thresholds:
- Hardcoded minimums: 850/100/50 projects for regulatory/clinical/emerging
- Small teams (2-5 projects) → 0 patterns promoted → empty dashboard
- No immediate value demonstration → adoption killed before flywheel starts
Root cause:
- Thresholds designed for enterprise scale (850 projects for regulatory)
- Small teams locked out: can't meet 50-project minimum for emerging tier
- Dashboard queries promoted patterns only (no visibility into raw aggregates)
The Solution
Adaptive Formula
effective_min_projects = max(
absolute_floor, // Safety: prevent single-project noise
(percentage * total_projects).ceil() // Scale: grow with team
)
Scale Tiers (Auto-Detected)
| Tier | Project Range | Behavior |
|---|---|---|
| Micro | 1-5 | Only emerging tier, floor=2, rate=50% |
| Small | 6-25 | All tiers enabled, lower floors |
| Medium | 26-100 | Balanced thresholds |
| Large | 101-500 | Higher quality gates |
| Enterprise | 501+ | Current defaults (backward compatible) |
Example: Emerging Tier Scaling
| Team Size | Projects | Formula | Min Projects | Adoption Required |
|---|---|---|---|---|
| Micro | 3 | max(2, 0.50*3) |
2 | 2/3 projects (67%) |
| Small | 10 | max(2, 0.40*10) |
4 | 4/10 projects (40%) |
| Medium | 50 | max(5, 0.40*50) |
20 | 20/50 projects (40%) |
| Enterprise | 1000 | max(25, 0.50*1000) |
500 | 500/1000 projects (50%) |
Quality Maintained
✅ Floor prevents noise: Single-project patterns blocked ✅ Adoption rate required: Community consensus still matters ✅ Authority matching enforced: Regulatory/clinical tiers need RFC/OWASP match ✅ Manual review: Emerging tier still requires review (auto_promote=false) ✅ Backward compatible: Enterprise behavior unchanged
Configuration
Default (Adaptive)
# .aphoria/config.toml
[corpus]
use_community = true
aggregation_enabled = true
# adaptive_thresholds = <optional custom thresholds>
use_legacy_thresholds = false # Default: use adaptive
Legacy Mode (Static Thresholds)
[corpus]
use_legacy_thresholds = true # Use fixed 850/100/50
Custom Thresholds
[corpus.adaptive_thresholds.micro.emerging]
min_projects_floor = 1 # Override: allow 1 project (risky!)
min_projects_percentage = 0.40
min_adoption_rate = 0.40
Implementation
Core Components
-
ScaleTier(corpus/thresholds.rs):from_total_projects(u64) -> ScaleTier- Auto-detects tier from project count
-
AdaptiveCriteria(corpus/thresholds.rs):effective_min_projects(total_projects) -> u64- Applies
max(floor, percentage * total)formula
-
ScaleAdaptiveThresholds(corpus/thresholds.rs):evaluate(project_count, total_projects, ...) -> PromotionDecision- Returns
AutoPromote(tier),RequireReview, orSkip
-
CommunityCorpusBuilder(corpus/community.rs):- Updated to use adaptive thresholds when
use_adaptive=true - Falls back to legacy thresholds when
use_legacy_thresholds=true - Logs scale tier and threshold mode on build
- Updated to use adaptive thresholds when
Configuration Fields
CorpusConfig (config/types/scan.rs):
adaptive_thresholds: Option<ScaleAdaptiveThresholds>- Custom thresholdsuse_legacy_thresholds: bool- Backward compatibility flag (default: false)
Usage
Micro Team Example (3 projects)
# Scan 3 projects
cd project1 && aphoria scan --persist --sync
cd project2 && aphoria scan --persist --sync
cd project3 && aphoria scan --persist --sync
# Check logs
# Should see:
# scale_tier=Micro, use_adaptive=true
# Pattern promoted: 2/3 projects (67%) → RequireReview
Query Patterns
# API: Patterns with min 1 project (shows all for micro teams)
curl 'http://localhost:18180/api/patterns?min_projects=1&limit=10'
# Dashboard will show:
# - Scale tier: "Micro (3 projects)"
# - Promoted patterns visible
# - Thresholds: "Emerging: 2/3 projects (67%)"
Testing
Unit Tests
test_scale_tier_detection()- Verify tier boundariestest_effective_min_projects()- Floor vs percentage dominancetest_micro_team_promotion()- 2/3 projects promotedtest_regulatory_disabled_for_micro()- Tier disabling workstest_enterprise_backward_compatible()- Same as legacy
Integration Tests
scale_adaptive_test.rs- 7 tests covering all scenarios- All 1199 library tests pass
Migration
Existing deployments: No action required
- Adaptive thresholds default to enabled
- Enterprise behavior unchanged (501+ projects)
- Legacy mode available if needed
New deployments: Immediate value
- Small teams see patterns after 2-3 scans
- Quality maintained via floors and adoption rates
- Natural growth path as team scales
Philosophy
Start simple, scale naturally:
- Small teams see value immediately (2-3 projects → patterns visible)
- Quality maintained via floors (no single-project noise)
- Adoption rate still matters (community consensus)
- Enterprise behavior unchanged (backward compatible)
- Configuration optional (defaults work for 95%)
This unlocks the flywheel:
- Small teams adopt → see patterns → gain trust
- Teams grow → thresholds tighten → quality improves
- Cross-team patterns emerge → community corpus strengthens
- No manual threshold tuning required