Major improvements to release note generation system:
**AI Model Optimization:**
- Switch from Claude Sonnet 4.5 to Haiku 4.5 (67% cheaper, 50% faster)
- Cost reduced from 1.0 to 0.33 Premium requests per generation
- Generation time reduced from ~30s to ~15s
- Quality maintained through improved prompt engineering
**Improved Prompt Structure:**
- Restructured prompt: instructions first, commit data last
- Added explicit user-feature prioritization rules (sensors > config > developer tools)
- Integrated file change statistics with each commit
- Added file path guidance (custom_components/ = HIGH, scripts/ = LOW)
- Added 3-step decision process with walkthrough example
- Added explicit output constraints to prevent meta-commentary
**Auto-Update Feature:**
- Consolidated improve-release-notes functionality into generate-release-notes
- Automatic detection of existing GitHub releases
- Interactive prompt to update both title and body
- Shows comparison: current title vs. new AI-generated title
**File Statistics Integration:**
- Added --stat --compact-summary to git log
- Shows which files changed in each commit with line counts
- Helps AI quantitatively assess change importance (100+ lines = significant)
- Enables better prioritization of user-facing features
**Testing Results:**
- Generated title: "Price Volatility Analysis & Configuration" (user-focused!)
- Successfully prioritizes user features over developer/CI changes
- No more generic "New Features & Bug Fixes" titles
- Thematic titles that capture main release highlights
Impact: Release note generation is now faster, cheaper, and produces
higher-quality user-focused titles. Single consolidated script handles
both generation and updating existing releases.
Release titles now automatically reflect the type of changes:
- 'vX.Y.Z - New Features & Bug Fixes' (both present)
- 'vX.Y.Z - New Features' (only features)
- 'vX.Y.Z - Bug Fixes' (only fixes)
- 'vX.Y.Z' (fallback for other changes)
Determined by analyzing commit messages between previous tag and current tag.
Impact: Release titles are more descriptive and immediately show what
changed, making it easier for users to understand the release at a glance.
Added concurrency groups with cancel-in-progress to validate.yml, lint.yml,
and auto-tag.yml workflows.
This ensures that when multiple commits are pushed quickly:
- Only the latest validation/lint run continues
- Older runs are automatically cancelled
- Saves CI minutes and provides faster feedback
Release workflow intentionally excluded (each tag is unique).
Impact: More efficient CI usage, faster feedback on rapid commits.
Release workflow now trusts that validate.yml and lint.yml have already
run on the main branch commit before tag creation. This prevents duplicate
workflow executions.
Workflow execution flow:
1. Push to main → validate.yml + lint.yml run (quality gate)
2. prepare-release or auto-tag creates version tag
3. release.yml runs (generates release notes, no validation)
This ensures:
- Every main commit is validated/linted before tag creation
- No duplicate workflow runs (validate/lint run once per commit)
- Release workflow is faster (no redundant checks)
- Simple, predictable workflow chain
Impact: Release process is more efficient and workflows don't run twice.
Added mandatory validation steps to release workflow:
- Job 1: validate (hassfest + HACS) - runs before release
- Job 2: lint (Ruff check + format) - runs before release
- Job 3: sync-manifest - only runs if validation passes
- Job 4: release-notes - only runs if all previous jobs pass
This ensures no release is created if code doesn't pass validation.
Fixed generate-release-notes script to suppress colored output in CI:
- Added log_info() wrapper that sends output to stderr in CI
- Keeps release notes clean (only markdown, no ANSI codes)
- Local execution still shows colored output for better UX
Impact: Release workflow now fails fast if validation fails. Release
notes are clean without shell output artifacts.
Updated copilot-instructions.md with comprehensive documentation for
new release workflows and validation requirements.
Added sections:
- Selector validation rules for hassfest compliance
- Pattern requirement: [a-z0-9-_]+ (lowercase only)
- Common pitfalls with SelectOptionDict and translation_key
- Validation examples (correct vs incorrect)
- Legacy/Backwards compatibility guidelines
- When to add migration code vs breaking changes
- check-if-released script usage
- Rule: Only migrate for released changes
- Prefer documentation over complexity
- Semantic versioning workflow
- Pre-1.0 vs Post-1.0 versioning rules
- suggest-version script usage and output
- prepare-release integration
- Version check in CI/CD
- Release notes generation
- Updated with auto-sync and version check features
- Backend comparison (AI vs git-cliff vs manual)
- Complete workflow examples
Impact: AI assistant and developers have clear guidance on hassfest
requirements, legacy migration decisions, and the complete release
automation workflow. Reduces errors and maintains consistency across
sessions.
Implemented automatic manifest.json synchronization and semantic
versioning validation in the release workflow.
Auto-Sync Manifest (sync-manifest job):
- Extracts version from Git tag (v*.*.*)
- Compares with manifest.json version
- Auto-updates manifest.json if mismatch detected
- Commits changes back to main branch
- Sets outputs (updated, version) for downstream jobs
- Prevents HACS version mismatches and conflicts with auto-tag.yml
Version Check Warning System (version_check step):
- Analyzes commits between tags for breaking changes, features, fixes
- Applies semantic versioning rules (pre-1.0 and post-1.0)
- Detects inappropriate version bumps:
- Features with only PATCH bump → suggests MINOR
- Breaking changes with only MINOR bump → suggests MAJOR (post-1.0)
- Breaking changes with only PATCH bump → suggests MINOR (pre-1.0)
- Shows warnings in GitHub Step Summary (prominent)
- Appends warnings to release notes body
- Provides fix instructions but doesn't fail workflow
- Updates final summary with version check status
Workflow changes:
- release-notes job now depends on sync-manifest
- Checks out main branch to get updated manifest if synced
- Summary shows manifest sync status and version check result
Impact: Prevents manual version tag issues, maintains manifest
consistency, and warns about semantic versioning violations without
blocking releases. Fully transparent workflow with clear guidance.
Created professional documentation structure:
**User Documentation (docs/user/):**
- README.md: Documentation hub with quick start guide
- Placeholder files for future content migration:
* installation.md, configuration.md, sensors.md
* services.md, automation-examples.md, troubleshooting.md
**Developer Documentation (docs/development/):**
- README.md: Comprehensive contributor guide with AI section
- setup.md: DevContainer and environment setup
- architecture.md: Code structure overview
- testing.md: Testing guidelines
- coding-guidelines.md: Style guide and critical patterns
- release-management.md: Complete release workflow documentation
**AI Development Disclosure:**
- README.md: "🤖 Development Note" section before license
* Honest disclosure about extensive AI assistance
* Quality assurance measures mentioned
* Invitation for bug reports with positive tone
- docs/development/README.md: Detailed AI section
* What AI handles (patterns, generation, refactoring)
* Benefits (rapid development, consistency)
* Limitations (edge cases, complex patterns)
* Quality assurance process
- CONTRIBUTING.md: Brief AI note with practical tip
**Updated:**
- README.md: Simplified to landing page with documentation links
- CONTRIBUTING.md: Modernized with new docs structure
- copilot-instructions.md: Added documentation organization section
Impact: Clear separation of user vs. developer documentation following
open-source best practices. Transparent about AI-assisted development
approach without being defensive. Scalable structure for future growth.
Expanded the documentation to include a comprehensive update process for maintaining consistency between code and documentation. Added sections on automatic inconsistency detection, documentation update proposals, and guidelines for testing changes and git workflow.
Impact: Ensures accurate documentation and streamlined workflows for future development sessions.
