AI Agent Workflow Analysis and Execution Patterns#13
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tirthbodawala merged 3 commits intomainfrom Nov 6, 2025
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Implement NLP-based summarization to auto-populate PLAN sections from task descriptions, significantly improving AI workflow efficiency. Changes: - Add scripts/ai_tools/summarizer.py with 5 core functions - extract_objective_from_task_description(): Expands task into clear objective - generate_context_summary(): Creates intelligent context with dependencies - analyze_task_type_and_scope(): Classifies task type and complexity - extract_file_patterns(): Identifies files/modules from description - identify_risks_from_description(): Detects potential risks - Enhance scripts/ai_tools/start_task.py - Integrate summarizer to auto-populate Objective section - Auto-generate Context section with decisions, conventions, dependencies - Replace manual placeholders with intelligent content - Add comprehensive test coverage - tests/ai_tools/test_summarizer.py with 26 test cases - 5 test classes covering all summarizer functions - Following TDD approach (tests written first) - Update documentation - AI_DOCS/ai-tools.md: Document new auto-population feature - Add before/after examples showing improvement Quality: - All 245 tests passing (100% coverage) - Black/isort formatting applied - Ruff/mypy/Pylint all green (10.00/10) - Follows TDD workflow strictly Impact: - Reduces manual PLAN editing time - Provides intelligent task analysis from day one - Maintains consistency across AI agent sessions - Foundation for future enhancements (plan-complete command)
Ensure new projects created from this template also get the
intelligent auto-population feature in ai-start-task.
Template Changes:
- Add template/scripts/ai_tools/summarizer.py.jinja
- Complete NLP summarization module for new projects
- 5 functions: extract_objective, generate_context, analyze_task,
extract_files, identify_risks
- Update template/scripts/ai_tools/start_task.py.jinja
- Import and integrate summarizer module
- Auto-populate Objective and Context sections in PLAN files
- Remove duplicate 're' import
- Add template/tests/ai_tools/test_summarizer.py.jinja
- Complete test suite with 26 test cases
- Ensures new projects maintain test coverage standards
- Update template/AI_DOCS/ai-tools.md.jinja
- Document intelligent auto-population feature
- Add before/after examples
- Explain NLP-based summarization capabilities
Impact:
- New projects from this template will have auto-population
- Maintains consistency across all template-generated projects
- No manual configuration needed for new projects
Quality:
- All 245 tests still passing (100% coverage)
- Template files follow same quality standards
- Copier will generate these files in new projects
tirthbodawala
commented
Nov 6, 2025
AI_DOCS/ai-tools.md
Outdated
| - `PLAN-*.md` - Task plan with checkboxes | ||
| - `SUMMARY-*.md` - Session summary template | ||
| - `EXECUTION-*.md` - Execution log | ||
| - **🆕 Auto-populates PLAN sections:** |
tirthbodawala
commented
Nov 6, 2025
AI_DOCS/ai-tools.md
Outdated
| - Shows key conventions to follow | ||
| - Adds task to `ACTIVE_TASKS.md` | ||
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| **✨ New: Intelligent Auto-Population** |
Remove decorative emojis (🆕, ✨) added in previous commits to maintain clean, professional documentation style. Changes: - AI_DOCS/ai-tools.md: Remove 🆕 and ✨ emojis - template/AI_DOCS/ai-tools.md.jinja: Remove 🆕 and ✨ emojis Content remains the same, only visual decorations removed.
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Implement NLP-based summarization to auto-populate PLAN sections from task descriptions, significantly improving AI workflow efficiency.
Changes:
Add scripts/ai_tools/summarizer.py with 5 core functions
Enhance scripts/ai_tools/start_task.py
Add comprehensive test coverage
Update documentation
Quality:
Impact: