😎 A curated list of awesome resources for engineering team principles
A manifesto and playbook for AI-native software engineering in the LLM era / AI-Native的软件工程宣言
Internal Q&A and knowledge base for Backstage. Empower teams to share knowledge, ask questions, and integrate AI-powered answers directly into their developer portal.
An awesome list that curates awesome resources on Staff Engineering
An ongoing curated list of awesome frameworks, important books and articles, talks and videos, libraries, learning tutorials, coding best practices and technical resources about Practical Engineering
A living meta-framework that unifies principles, rhythms, and documentation across engineering, designed for clarity, consistency, and long-term scalability.
An interactive, non-judgmental Claude skill that locates a software team on the Bounded-Rationality Maturity Scale and suggests the single next move. A free gift to the community (CC BY-NC-SA 4.0).
EngEx [endʒiks] : Engineer Experience 工程师体验
A curated guide for software engineers to evaluate a company’s engineering practices during job interviews. Includes key questions, red flags, and good signs related to SDLC, codebase quality, team culture, testing, and developer experience.
Profile a shop's engineering culture from public sources and install develop-like-<target> agent skills. /dev-like Every
A framework that keeps humans at the centre of software engineering — setting out the principles, behaviours, and practices that ensure engineers grow their craft in an AI-enabled world, protecting both individuals and talent pipeline on which the industry depends.
可落地、可勾选的代码开发+Code Review工程规范,基于 David Farley《Modern Software Engineering》。Actionable dev & review checklist.
A battle-tested R&D operating framework: Upstream discovery, lean delivery, SRE operations, customer growth — one loop.
Software engineering book notes in Spanish and English, curated to help developers quickly find meaningful reflections and practical takeaways.
Repo hosting the raw BMD manifesto. Subject to change without notice
Principles and practices for building sustainable and well-structured software systems.
Decode technical decisions into plain language. AI drafts the why — the engineer confirms in one sentence.
Sanitized production incident postmortems. The bugs we shipped, the fixes that worked, the machine-enforced rules that prevent the next one.
Enforcement & release-hygiene layer for Cursor agents — blocking git/DB/license guardrails, commit hygiene, and docs-ops.
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