Books for people who are or aspire to manage/lead team(s) of software engineers

Practical AI playbooks for engineering leaders to improve delivery, decision-making, and team productivity with real workflows, prompts, and systems.

A list of resources about Software Engineering Management

A complete system for writing LinkedIn posts that sound human, not AI. Built for Claude Projects. Includes anti-AI detection, voice calibration, 2026 algorithm strategy, and weekly workflow.

Learning resources for engineering managers.

A curated list of tools, templates, books, newsletters, podcasts, and resources for engineering managers and tech leaders.

Awesome resources about engineering leadership for those who are (or soon to be) leading software enginners

Local-first AI Chief of Staff for engineering leaders

Canonical Practice Leadership Handbook

认知增强 AI Skills：结构化思考、决策复盘、辩论、写作、产品、设计与工程领导，支持 Codex / Claude Code / Gemini CLI

Open-source tools for clearer, more credible resumes, interviews, and career conversations.

Decision memos, incident playbooks, SLO templates, and architecture reviews for engineering leaders.

A repository with resources on the challenges you might encounter as an engineering manager.

A collection of resources to help guide engineers transition into management & help current Engineering Leaders succeed

Engineering manager resources, a curated list of articles, books, frameworks, newsletters, podcasts, courses

Claude Code plugin marketplace by AgentFlock — starting with Myna, a local-first AI Chief of Staff for engineering leaders.

A practical, copy‑pastable OS for EMs/Tech Leads. Clear principles, team ops, delivery, platform, metrics, culture, crisis, scaling, and reusable templates for remote‑first SaaS.

Claude Code skills for engineering managers and tech leads — code review, coaching, repo health, and retrospectives, most anchored on an established leadership framework.

Solution Architect & Engineering Leader | Building scalable systems, mentoring teams, and designing products that last.

Open-source toolkit for assessing whether an AI workflow is ready for production: governance, RAG quality, evals, observability, human review, cost, risk, and business value.