From Idea to Working Code in Minutes

▶ Watch (04:55)

BlueFluff documented the Furby’s Bluetooth protocol, but the project no longer ran on modern Node and its dependencies were gone. Woodward pointed Copilot at the existing code and docs, asked for a Python port, and had a working project called PyFluff in about five minutes. He then walked through the PyFluff live Furby demo (06:09), setting antenna colors and firing pre-built actions on stage. Cameron Foxley, a brand designer at GitHub, took the same approach: he built Ascii Motion, an ASCII art animation tool, and was an open source maintainer four hours after he started.

Small Fixes, Outsized Returns

▶ Watch (12:50)

Helen Hou-Sandi, a GitHub engineering manager and WordPress open source maintainer, described the merge-conflict editor before her team touched it: delete angle brackets and markers manually, then hope you got it right. Her team added one-click buttons to accept current, incoming, or both changes, and also shipped WebP support and comments on any file in a pull request.

“It’s little enhancements like this that have a huge impact” — Helen Hou-Sandi

The pattern is intentional. Small fixes that are annoying to scope add up fast at GitHub’s scale.

Enterprise Adoption: Start Boring, Ship Fast

▶ Watch (18:05)

Asos runs 85,000 products across 200 markets with 800 developers. A tool to track missing or mismatched stock transactions was scoped to three months. The team used Copilot Agent mode with a spec-driven approach, spent a few days writing requirements, then let the agent generate. They shipped a React frontend, .NET API, and SQL database in 11 days. Back-end engineers levelled up their React skills with shared prompt libraries.

“Our team shipped a robust solution in just 11 days.” — Dylan Morley

The 3-month estimate shrank because the work was greenfield and clearly scoped before the agent touched it.

Open Source at Healthcare Scale

▶ Watch (24:10)

Open Healthcare Network grew from 200 to 1,400 hospitals across India, with 1,000 contributors and 10,000 commits. When administrators needed a bed-availability dashboard, the team assigned it to Copilot’s coding agent. Copilot opened a PR with a new React component and a summary. Community member Jacob spotted the wrong React hooks in a comment; Copilot fixed them. The Open Healthcare Network bed dashboard demo (26:11) shows the full PR flow. The feature shipped across ten Indian states in one day.

“Copilot contributed to saving lives and improving patient care.” — Bodhish Thomas

Students Building Production-Grade Tools in 72 Hours

▶ Watch (30:58)

Jayden and Elliot built Crazy Controllers at HackClub Undercity: a glove with flex sensors that passes hand-position data through a TensorFlow neural network to classify American Sign Language letters. See the Crazy Controllers ASL glove demo (31:49). They had never used PyQt; Copilot taught them the syntax as they typed, and they shipped a working GUI in 72 hours. Two other teams went just as far: Brian and Alethea built Crisis Lens, a peer-to-peer live stream platform using LivePeer and Mapbox, while Cindy and Alison built Braillearn, a physical braille display driven by six Arduino servo motors.

“We went from zero to a working GUI in project in just 72 hours.” — Jayden

Notable Quotes

Our team shipped a robust solution in just 11 days. Dylan Morley · ▶ 19:19

It’s little enhancements like this that have a huge impact Helen Hou-Sandi · ▶ 13:22

Copilot contributed to saving lives and improving patient care. Bodhish Thomas · ▶ 27:17

We went from zero to a working GUI in project in just 72 hours. Jayden · ▶ 32:06

Key Takeaways

  • Copilot modernized a broken legacy Bluetooth library into a working Python project in about 5 minutes.
  • Asos shipped a full-stack stock-tracking tool in 11 days by starting with clearly scoped, low-risk work.
  • Open Healthcare Network reached 1,400 hospitals across India using open source collaboration and AI-assisted development.