Tame your monorepo. Make CI fast again.
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Updated
Sep 4, 2026 - Python
Tame your monorepo. Make CI fast again.
Example async Python web service (Litestar + FastStream/NATS) with clean layered architecture, DI and import-linter
Production-ready Python web service template on Litestar — clean architecture, dishka DI, JWT auth + RBAC, NATS via FastStream, observability out of the box
A production-grade Modular Monolith template built with FastAPI — module boundaries (public/private, no cross-module DB joins) enforced by import-linter in CI, not just convention.
Spec-driven, domain-driven modular monolith in miniature: specs lead, bounded contexts talk through events, architecture and traceability enforced as build gates.
A live architecture map your coding agent has to respect. Keeps vibe-coded apps from turning into spaghetti.
Statischer Python-Code-Analyser mit Tkinter-GUI: findet ungenutzte Imports, tote Definitionen und ähnliche Code-Blöcke via AST-Analyse. Kein pip install nötig.
自动化新闻聚合与发布平台(比如WeChat公众号)
MCP server and agent runtime for one team: shared notes for Claude Code, Teams, CLI and GitHub, with gated writes.
Production-grade FastMCP template built around dependency injection and zero global state. A composition root wires clients, services, and loggers so tests inject dependencies instead of monkeypatching; Cursor rules keep AI edits copying this architecture. Layered import DAG, Testcontainers, Prometheus, and Kubernetes probes included.
Public reference patterns for AI-First software delivery using SDD, SPDD, Hexagonal Architecture, Claude Code Skills, architecture tests, Java and Python.
Deterministic guardrails for agentic engineering: architecture rules your coding agent cannot talk its way past, with the fix on every finding. TypeScript, .NET and Python in one rule file.
To associate your repository with the import-linter topic, visit your repo's landing page and select "manage topics."