🦾 AI agents that code on their own [Workshop]

Hey there.

Professional developers are experiencing something that seemed impossible just months ago.

New AI coding agents from Google, OpenAI, and Anthropic have crossed an important threshold. 

These autonomous systems now write entire features and deploy code independently while you work on strategic problems.

For non-developers, these systems are making software creation more accessible in ways that will reshape entire industries. Early adopters, like members of The Rundown AI University, are reducing task completion times, generating cleaner code, and experiencing fewer issues, regardless of their technical experience.

Here’s what the newest coding agents can help you do:

Delegate complete development workflows to AI

The need to manually code everything was eliminated a long time ago, but these agents now independently handle complex, multi-step development tasks that would typically consume entire days of focused work.

They’re capable of:

• Multi-step task planning that breaks complex features into manageable steps, generates implementation plans, and runs unit tests to validate work before creating pull requests

• Parallel task execution that lets you assign different coding operations simultaneously in a system where one agent handles the backend API while another manages the frontend and a third writes comprehensive tests

• Asynchronous background processing that continues working on your GitHub repositories while you focus on higher-level problems, sending progress updates and audio summaries when complete

• Context-aware codebase understanding that reads your entire project structure, coding conventions, and style to write code that aligns with your team's standards

The barrier between having an idea and implementing it has essentially disappeared.

Now you can create internal apps that solve unique business problems, build custom automation tools that handle repetitive workflows, develop client-facing solutions, prototype and test ideas rapidly, and scale your capabilities beyond what manual processes allow.

Access on-demand development assistance

For the development work you want to stay directly involved with, AI assistants have evolved far beyond simple suggestions. They now provide sophisticated analysis and real-time collaboration that enhances rather than replaces your decision-making.

These tools can manage:

• Real-time debugging and refactoring across multiple files simultaneously, with AI analyzing your entire codebase to identify potential issues before they become problems

• Extended thinking mode capabilities that provide additional computation time to evaluate alternatives thoroughly

• Natural language to code conversion that transforms requirements into working implementations, complete with error handling, testing, and documentation

• Intelligent code review and optimization that suggests architectural improvements and identifies patterns that could be simplified or made more efficient

Every profession has now gained the ability to bring ideas to life without a technical background.

Now you can get instant expert-level guidance on complex technical decisions, accelerate learning curves, maintain higher code quality, work confidently with unfamiliar technologies, and focus on creative problem-solving while AI handles most of the implementation.

Integrate these agents into your existing workflows

The rapid evolution of these capabilities has created a new challenge.

Different agents excel at different tasks, integration approaches vary dramatically, and the learning curves can be steep without guidance. 

Now, knowing which tools to use for specific outcomes, learning how to integrate them effectively, and avoiding the pitfalls that can derail projects are a career-defining skill set.

And, fortunately, that’s exactly what we’re covering in this week’s workshop…

Tomorrow at 4 PM EDT, Dr. Alvaro Cintas is cutting through the complexity to show you exactly how to:

• Delegate entire coding tasks to the latest versions of the leading AI agents that work autonom

• Use advanced coding assistants like Windsurf, Cursor, and GitHub Copilot for building, debugging, and refactoring across full codebases

• Integrate these tools into your existing development workflow for faster development and cleaner code

By the end of the workshop, you’ll confidently be able to use AI coding agents to improve (or get started with) your development workflow.

Learn how to delegate coding projects to a team of AI agents that can bring your best ideas to life (without previous technical experience) by starting a 14-day trial at The Rundown AI University.

See you in class, 

Rowan & The Rundown Team

P.S. If you're not already a seasoned developer, The Rundown AI University helps you adapt the newest tools to your career. Our brand new platform includes 16 different industry-specific courses. Start developing workflows that generate plans, write drafts, follow automations, or create entire apps with a 14-day trial here.