About This Course
<p>What an extraordinary time to be in tech!</p><p>The software engineering industry is facing radical change. And that is the understatement of the year.</p><p><br></p><p>Some teams are delivering an order of magnitude faster. But it’s not without downsides: a tsunami of PRs, concerns about code quality and security, and confusion about the development process. Does a human need to review every line of code?</p><p><br></p><p>The job market is confusing, too. “AI-Native” is starting to appear in job titles, but it’s not clear what that even means.</p><p>I dug through 50,000 job descriptions to figure it out, and to create a 2 week intensive curriculum:</p><p><br></p><p>Week 1 gets you ready for industry today:</p><p><br></p><ul><li><p>The AI SDLC and the new job market</p></li><li><p>Claude Code, Codex and GitHub Copilot</p></li><li><p>Skills, plugins, MCP servers, subagents, hooks</p></li><li><p>Harness engineering with tests and CI</p></li><li><p>Anthropic's AI-native SDLC end to end</p></li></ul><p><br></p><p>Week 2 positions you for the future:</p><p><br></p><ul><li><p>AWS's AI-DLC and team lifecycles</p></li><li><p>Parallel team delivery with common practices</p></li><li><p>Large codebases, security and testing</p></li><li><p>Cloud agents and a software factory</p></li><li><p>A commercial capstone, deployed to Render</p></li></ul><p><br></p><p>The way I explain the SDLC is the way I like to learn myself: through hands-on building. We build out my biggest ever course project with over 100,000 lines of code, with help from a number of coding agents.</p><p><br></p><p>So this course puts you and your team ahead of the change, accelerating delivery while staying accountable for quality.</p><p><br></p><p>This course is for anyone working in tech, or anyone who'd like to work in tech.</p><p>As I say, “AI-Native” is starting to appear in job titles.</p><p>My goal is that in 2 weeks time you'll be able to add it to yours!</p>
What you'll learn:
- Use coding agents as a force multiplier while providing intent, judgment and taste, and staying accountable for quality
- Capitalize on the strengths of Claude Code, Codex and Copilot and recognize the limitations
- Ground coding agents in repo context, custom skills, plugins and MCP servers / Code Mode
- Apply Harness Engineering to enforce standards with hooks, tests, CI/CD and AI code review
- Deliver features from intent to production through Anthropic’s AI-native SDLC with parallel agents and subagents
- Combine the best of the emerging Agentic SDLC practices from Anthropic, OpenAI, AWS, Google and Atlassian
- Drive team-wide adoption of coding agents to achieve parallel delivery with a common process
- Collaborate safely on large codebases with robust security, refactoring, testing and debugging
- Amplify your team’s output with cloud agents and push the boundary with a software factory
- Advance your career as an AI-Native Software Engineer: supercharged, accountable and not drowning in code reviews