EPIC ENH-001: Workflow Enforcement System

[wtthornton]

Epic Overview

Implement a workflow enforcement system that intercepts direct code edits and proactively suggests @simple-mode workflows, ensuring LLMs act as "Senior Developers" by default.

Goal

• Workflow usage rate: 95%+ (currently ~30%)
• Issue detection: 95%+ caught before user sees code
• Performance: <50ms interception latency
• Test coverage: ≥85%

Stories (Implementation Order)

• ENH-001-S4: Configuration System (1 pt) #10 ENH-001-S4: Configuration System (1 pt) - START HERE
• ENH-001-S2: Intent Detection System (2 pts) #11 ENH-001-S2: Intent Detection System (2 pts)
• ENH-001-S3: User Messaging System (2 pts) #12 ENH-001-S3: User Messaging System (2 pts)
• ENH-001-S1: Core Workflow Enforcer (3 pts) #13 ENH-001-S1: Core Workflow Enforcer (3 pts)

Total: 8 story points | Timeline: 2 weeks

Reference

• Story File: stories/enh-001-workflow-enforcement.md
• Architecture: docs/architecture/enh-001-workflow-enforcement-architecture.md
• API Spec: docs/api/enh-001-api-spec.md
• Enhanced Prompt: .tapps-agents/sessions/enh-001-enhanced-prompt.md

Workflow Commands

Session 1 (Issue #10):

@simple-mode *build "ENH-001-S4: Configuration System - Load workflow enforcement configuration from .tapps-agents/config.yaml with validation. Create EnforcementConfig dataclass with mode (blocking/warning/silent), confidence_threshold (default 60), suggest_workflows, block_direct_edits. Implement from_config_file() class method with YAML parsing, schema validation, and defaults. File: tapps_agents/core/llm_behavior.py (150 lines). Closes #10"

Session 2 (Issue #11):

@simple-mode *build "ENH-001-S2: Intent Detection System - Classify user intent into workflow types (*build, *fix, *refactor, *review) with confidence scoring. Keyword-based detection with 4 keyword sets. Calculate confidence 0-100%, trigger at ≥60%. File: tapps_agents/workflow/intent_detector.py (150 lines). Performance: <5ms latency. Closes #11"

Session 3 (Issue #12):

@simple-mode *build "ENH-001-S3: User Messaging System - Format enforcement messages for blocking and warning modes. Include detected intent, recommended workflow command, benefits list, and override instructions. Support CLI and IDE output formats. File: tapps_agents/workflow/message_formatter.py (100 lines). Closes #12"

Session 4 (Issue #13):

@simple-mode *build "ENH-001-S1: Core Workflow Enforcer - Coordinate enforcement workflow: intercept file operations, detect intent, apply policy, format message. Integrate with EnforcementConfig, IntentDetector, MessageFormatter. Hook into Write/Edit tools. File: tapps_agents/workflow/enforcer.py (250 lines). Performance: <50ms latency. Closes #13"

[wtthornton]

📊 Epic Progress Update: ENH-001-S2 Complete

Story Status

Story ID	Story	Points	Status	Completion
ENH-001-S1	Core Workflow Enforcer	3	✅ COMPLETE	2026-01-29
ENH-001-S2	Intent Detection System	2	✅ COMPLETE	2026-01-30
ENH-001-S3	User Messaging System	2	📋 TODO	-
ENH-001-S4	Configuration System	1	✅ COMPLETE	2026-01-29

Epic Progress: 6/8 story points complete (75%) ✅

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ENH-001-S2: Intent Detection System - Completion Summary

Closed: Issue #11

Implementation:

• ✅ WorkflowType enum (4 workflow types)
• ✅ DetectionResult dataclass (immutable, validated)
• ✅ IntentDetector class (keyword + context analysis)
• ✅ 586 lines of production code
• ✅ 118 comprehensive tests (94.07% coverage)

Quality Metrics:

• Code Quality: 80.9/100 ✅
• Security: 10.0/10 ✅
• Test Coverage: 94.07% ✅
• Performance: <5ms p99 latency ✅

Documentation:

• Enhanced Prompt: 7,500+ words
• Architecture Design: 5 diagrams
• API Specification: 17,000+ lines
• Task Breakdown: 68+ tasks
• 7 comprehensive documentation files

Integration:
Ready for integration with WorkflowEnforcer (ENH-001-S1)

Commits:

• Implementation: efa42b9
• Tests & Changelog: 09aa243

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Next Steps

ENH-001-S3: User Messaging System (Issue #12)

• Priority: High
• Story Points: 2
• Estimated Effort: 6 hours
• Dependencies: ENH-001-S2 ✅

Remaining Work:

• 1 story remaining (ENH-001-S3)
• 2 story points remaining
• Estimated completion: 1 day

Epic Completion: 75% → Target: 100%