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Type: feature Priority: low
Automated test to verify workflow is working
feature
System Info
- Code: 1.122.1 (8761a5560cfd65fdd19ce7e2bd18dab5c0a4d84e)
- OS: win32(10.0.26200)
- CPUs: Intel(R) Core(TM) i5-10300H CPU @ 2.50GHz(4 x 2496)
- Memory(System): 23.84 GB(18.01GB free) ...
Add a 5th generated document: user-flow diagrams in Mermaid.
No backend code needed beyond wiring: write backend/prompts/generators/user_flows.md (follow the structure of
blueprint.md/prd.md) and add ...
good first issue
Extend the CLI engine to support more local coding agents (e.g. aider, opencode).
Where: add an entry to _CLI_SPECS in backend/services/engines/cli.py (binary name + non-interactive args) and to
CLI_META ...
enhancement
good first issue
Service catches currently log via logger.warn( text , err). Adopt { scope: service:foo , op: create , err: { message,
stack } } so Sentry/Datadog can group cleanly.
observability
DeepSeek is OpenAI-compatible and popular in the 中文 community — a high-ROI engine to support.
Same pattern as the Mistral/Groq walkthrough in CONTRIBUTING.md. Touches backend/services/engines/ + the Engines ...
enhancement
good first issue
Groq is OpenAI-compatible and very fast — base URL https://api.groq.com/openai/v1.
Follow the engine walkthrough in CONTRIBUTING.md. See backend/services/engines/api.py for the OpenAI-compatible path ...
enhancement
good first issue
Cover the shared image-gen wrapper (supabase/functions/_shared/generation.ts if present) — auth check, model resolution,
telemetry, error propagation to the job row.
test-coverage
Add Mistral as an API engine (OpenAI-compatible, base URL https://api.mistral.ai/v1).
Where: backend/services/engines/ (new mistral.py), register in __init__.py build_engine(), add a test in
tests/test_engines.py, ...
enhancement
good first issue

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