jordan 157dbbb9eb feat: Complete Aphoria Phase 8-9 + UAT suite (90/90 tests passing)

## Phase 8: Enterprise Extractor Improvements ✅
- 14 security extractors (TLS, JWT, SQL injection, XSS, etc.)
- 10 framework-specific extractors (Spring, Django, Rails, etc.)
- Config file security detection (YAML, TOML)

## Phase 9: Autonomous Extractor Generation ✅
- Shadow mode executor with TP/FP tracking
- Graduation pipeline with confidence thresholds
- Auto-rollback on regression detection
- Cross-project pattern syncing

## UAT Suite Complete (14 scripts, 90 tests)
- test-core-detection.sh (6 tests)
- test-declarative-extractors.sh (5 tests)
- test-domain-frameworks.sh (5 tests)
- test-domain-unreal.sh (3 tests)
- test-llm-extraction.sh (6 tests)
- test-eval-harness.sh (5 tests)
- test-cross-language.sh (3 tests)
- test-precommit-performance.sh (4 tests)
- test-output-formats.sh (8 tests)
- test-drift-detection.sh (6 tests)
- test-exit-codes.sh (12 tests)
+ 3 more scripts

## Other Changes
- Updated roadmap to mark Phase 8-9 complete
- Added .gitignore entries for build artifacts
- Updated pre-commit: 800 line limit, exclude tests/data/cmd

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

2026-02-06 22:50:55 -07:00

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Research: [Topic Name]

Problem Statement

What specific issue are we trying to solve?

Symptom:
Impact:
Current metrics:

Hypothesis

What do we think might solve this?

Background Research

Documentation Review

Gemini API docs
Related GitHub issues
Academic papers
Similar projects

Key Findings

Experiments

Experiment 1: [Name]

Setup:

Description of what we're testing

Expected Outcome:

Actual Outcome:

Metrics:

Metric	Before	After	Delta
Precision
Recall
F1

Conclusion:

Experiment 2: [Name]

(Repeat structure)

Final Recommendations

Based on experiments:

Do: [What worked]
Don't: [What didn't work]
Next Steps: [Follow-up actions]

Implementation Plan

If research was successful:

Step 1
Step 2
Step 3

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