feat: #7 - 2-nl-processing

[warmonger0]

Summary

This PR implements the core natural language processing system that converts user requests into formatted GitHub issues for the tac-webbuilder project.

Implementation Plan

Implementation plan: specs/issue-7-adw-902b35e6-sdlc_planner-nl-processing-issue-formatter.md

Changes

• Natural Language Processor (app/server/core/nl_processor.py): Converts natural language requests into structured GitHub issues using Claude API
• Issue Formatter (app/server/core/issue_formatter.py): Formats GitHub issues with ADW workflow triggers and proper templates
• Project Detector (app/server/core/project_detector.py): Analyzes project context to detect framework, stack, and complexity
• GitHub Poster (app/server/core/github_poster.py): Posts formatted issues to GitHub with preview and confirmation
• Data Models (app/server/core/webbuilder_models.py): Pydantic models for GitHubIssue and ProjectContext
• FastAPI Server (app/server/server.py): REST API endpoints for the webbuilder system
• Frontend Components: Issue builder UI and API integration
• Comprehensive Tests: Full test coverage for all core modules

What Was Done

• Implemented NL processor with Claude API integration
• Created issue formatter with template support
• Built project detector for context analysis
• Developed GitHub poster with gh CLI integration
• Added data models using Pydantic
• Created FastAPI backend server
• Built frontend issue builder interface
• Added comprehensive test suites for all modules
• Updated dependencies in pyproject.toml
• Created E2E test command

Key Features

• Converts natural language to structured issues using AI
• Detects project context (framework, stack, complexity)
• Suggests appropriate ADW workflows based on task type
• Provides preview before posting to GitHub
• Supports feature, bug, and chore issue types
• Full test coverage with pytest

ADW Tracking

ADW ID: 902b35e6

Closes #7