For Engineers
Effective prompting, task decomposition, validating agent output, and building AI-compatible codebases.
Agentic Engineering for Humans
Real-world guides and resources for learning how software engineering and leadership works in a post-AI world.
Autonomous agents are building entire applications from a single prompt, contributing to open source projects, and even making dinner reservations on behalf of humans. This is all fine and good for hobby projects and scrappy startups, but for many engineering teams, integrating these tools into a real-world production environment feels out of reach.
If you feel like youâre falling behind or that the promises of âagentic engineeringâ are unrealistic for complex, high-stakes legacy systems, this resource is for you. Agentic Engineering for Humans is the beginning of a pragmatic, hype-free map for managing this transitionâa community-driven repository where real engineers can share whatâs worked for them.
Choose your path to start reclaiming your time from tedious tasks and focus on high-value problems instead, or contribute to help make this a living document of what is actually happening in the field.
Choose Your Path
Section titled âChoose Your PathâPick the track that matches your role. Each path is designed for where you are today.
For Team Leads
Integrating agents into workflows, code review policies, shifting testing left, and managing skill gaps.
For Executives
Strategic vision, ROI frameworks, adoption blockers, and preparing for autonomous agents.
Whatâs Inside
Section titled âWhatâs InsideâFoundations
Section titled âFoundationsâIndividual Practice
Section titled âIndividual PracticeâTeam Integration
Section titled âTeam IntegrationâStrategy
Section titled âStrategyâBy Phase
Section titled âBy PhaseâGovernance
Section titled âGovernanceâBuilt by the Community
Section titled âBuilt by the CommunityâThis guide is open source and community-driven. Weâre all figuring out agentic engineering togetherâyour experience matters.
Join the Conversation
Ask questions, share wins, discuss whatâs working. The fastest way to learn is together.
Contribute
Found something to improve? Have expertise to share? Every contribution helps the next person.