Site verification may fail when component images haven't built yet.
The SDLC lifecycle completes regardless of site availability.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The sdlc merge command already transitions features to released
internally. The cookbook's transition step was running after archive,
which moved the feature and caused "feature not found". Fixed by:
- Reordering: transition before archive
- Adding on_error: continue to both (merge handles transition)
- Simplifying verification (no longer depends on transition outputs)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The `sdlc merge` command reads the Branch field from the feature manifest
on main, but `sdlc branch create` was only committing that state to the
feature branch (via the executor's CommitAndPush). This caused merge to
fail with "feature has no branch".
Two changes:
1. cmd/sdlc/cmd_branch.go: commit .sdlc/ state to main before
`git checkout -b`, ensuring Branch metadata is on main where merge
reads it.
2. internal/worker/sdlc_executor.go: reset workspace to main
(`git fetch && git checkout main && git reset --hard origin/main`)
before each SDLC task, preventing cross-task branch contamination
from commands that switch branches.
Also updates foundary cookbook with architect fallback pattern and
on_error: continue for steps that may fail during early lifecycle.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Implements all 5 phases of Foundary Studio backend:
Phase 1: Chat Persistence (8 API endpoints)
- Conversations and messages with proper cascading deletes
- PostgreSQL schema with auto-update triggers
- Full CRUD operations with structured logging
Phase 2: Blueprint Entity (5 API endpoints)
- JSONB spec storage with GIN indexes
- Flexible structured data for project specifications
- Version-controlled blueprint management
Phase 3: Architect Service (3 API endpoints)
- Conversational AI orchestration with Claude
- Multi-turn dialogue with context building
- Blueprint spec extraction from conversations
Phase 4: Work Queue Integration
- Verified existing endpoint compatibility
Phase 5: Structured Questions (6 API endpoints)
- Four question types: text, choice, multichoice, yesno
- Answer validation with proper constraints
- Conversation-linked Q&A flow
Architecture:
- Textbook hexagonal architecture (domain → port → adapter → service → handler)
- Zero external dependencies in domain layer
- Consistent error handling with proper wrapping
- Auth scopes on all routes (projects:read, projects:execute)
- Structured logging with operation context and duration tracking
- NULL-safe DTO converters throughout
Database:
- 3 new migrations (019, 020, 021)
- UUIDs for all primary keys
- Proper foreign key constraints with ON DELETE CASCADE
- Optimized indexes including partial index for unanswered questions
- Auto-update triggers for timestamps
OpenAPI Documentation:
- Complete API documentation under 'Foundary' tag
- 22 new endpoints documented with examples
- Request/response schemas for all operations
Logging Improvements:
- Added operation field to all service logs
- Added duration_ms tracking for performance monitoring
- Log response_length instead of full response content
- Consistent use of logging field constants
- Execute-then-log pattern for delete operations
Files: 32 changed, 2800+ lines added
- 7 domain models
- 3 database migrations
- 3 port interfaces
- 3 postgres adapters
- 4 services (conversation, blueprint, question, architect)
- 4 handlers with DTOs
- OpenAPI documentation
- Integration in main.go
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
Missed the 3 wait_pipeline steps (CI deploys) - now consistent with
wait_build steps at 720 attempts × 5s = 1hr.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Agent tasks (spec, design, implementation, review, etc.) can take significant
time. Increased all wait_build steps from 5-10 min to 720 attempts × 5s = 1hr.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
The wait-init step was timing out because it waited for the entire pipeline
including docs build steps. The service (preferences-api) deploys successfully
before docs. Added on_error: continue so the tree proceeds after service deploy.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add longhorn-rwx StorageClass for RWX volume support
- Add slackpath-5-full-lifecycle.yaml cookbook tree (all 10 SDLC phases)
- Update worker-pool.md documentation
- Consolidate PVC configuration, remove separate pvc-shared-claude.yaml
- Update rdev-worker and kustomization for new PVC structure
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Updates slackpath-2 and slackpath-4 to use POST /projects/{id}/components/batch
for adding multiple Go components atomically in a single git commit. This
prevents the go.work race condition where individual commits reference modules
that don't exist yet.
Also adds on_error: continue for infrastructure provisioning steps that may
already exist from skeleton (redis, postgres).
Verified:
- slackpath-1: ✅ Complete (wait_build polled 5 times, detected success)
- slackpath-2: ✅ Complete (wait_build polled 111 times, detected success)
- slackpath-3: ✅ Infrastructure passed (worker capacity limited testing)
- slackpath-4: ✅ Infrastructure passed (worker capacity limited testing)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Three coordinated fixes for CI pipeline race conditions:
1. Woodpecker step dependencies: Added depends_on: [deps] to all 6 component
templates (service, worker, cli, app-astro, app-react, app-nextjs) so build
steps wait for go work sync to complete.
2. Idempotent resource provisioning: Modified provisionResources() to check
for existing database/cache before creating, preventing "already exists"
errors on component re-adds.
3. Batch component endpoint: POST /projects/{id}/components/batch enables
atomic multi-component additions in a single git commit. Validates all
components upfront, provisions infra sequentially, commits code components
atomically.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Components now automatically receive DATABASE_URL, REDIS_URL, and other
infrastructure credentials when deployed. Previously, credentials were
provisioned and stored but never injected into K8s deployments.
Changes:
- Add fetchProjectCredentials() to component_deploy.go
- Populate spec.Secrets before calling deployer.Deploy()
- Fix slackpath-4 to provision postgres + redis before services
- Add terminology docs to clarify platform vs skeleton code
This completes the infrastructure provisioning flow:
1. add-db → provisions CockroachDB, stores DATABASE_URL
2. add-service → deploys with DATABASE_URL in environment
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Major changes:
- Add internal/logging package with field constants, context propagation,
sensitive data auto-redaction, and per-component log levels
- Add worker timeout constants (TimeoutQuickOp, TimeoutHealthCheck, etc.)
- Extend SDLC with callback handlers, generate endpoints, and executor
- Add new cookbook trees for aeries and slackpath progression
- Add skeleton templates for queue, realtime, and microservices
- Add worker component template with async job processing
- Refactor services and handlers to use new logging infrastructure
- Split component.go into component_infra.go and component_listing.go
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Adds AddIngressPath and RemoveIngressPath to the Deployer interface
for managing per-component ingress rules in monorepo projects.
- Implement conflict retry logic for concurrent ingress updates
- Add K8s client interface for testability
- Add comprehensive unit tests for ingress path operations
- Add component deployment and teardown methods to ComponentService
- Update service templates with OpenAPI spec improvements
- Add evolving-app cookbook tree for reference
- Split resources.go into resources_ingress.go for path-based routing
- Split component.go into component_deploy.go for deployment helpers
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
