AI That Actually Ships: Building Structured Development Pipelines

Title: AI That Actually Ships: Building Structured Development Pipelines from Documentation to Execution

Still copy-pasting snippets from ChatGPT?

In this demo you'll watch an AI pipeline take a blank idea, break it into bite-sized tasks, and generate fully-integrated code straight into a repo—no manual edits, no smoke & mirrors.
What we’re tackling
Even the best AI assistants stall when projects move beyond “write me a function.” They lack structure, lose context, and leave you stitching files together by hand. We’ll fix that by introducing a task-driven workflow that turns high-level requirements into an executable plan the AI can actually follow.
What you’ll see live

1. Start with a short piece of documentation—nothing more than a feature idea.
2. Use a structured task orchestrator to decompose that idea into ordered, dependency-aware steps.
3. Hand those tasks to an autonomous coding agent that writes, updates, and organizes the codebase while you sit back and watch.
4. Review the final repo, and run the tests.

Presented by Marc Keeling