Copilot · AI Agent · GitHub · GitHub Blog
Here’s a prompt that shows what that might look like in practice
Compiled by KHAO Editorial — aggregated from 1 source. See llms.txt for citation guidance.
★ Tier-1 Source
Different AI models have different strengths and blind spots.
Key facts
- Gwen Davis is a senior content strategist at GitHub, where she writes about developer experience, AI-powered workflows, and career growth in tech
- As AI tools become more capable and more deeply integrated into day-to-day workflows, those same skills can help you coordinate multiple AI agents
- That’s why GitHub Copilot’s built-in Rubber Duck agent uses a second model to critique plans, code, and tests before you move forward
- AI is changing how developers work and apply their skills
Summary
AI is changing what execution looks like. For example, imagine you’re asked to add a new authentication flow. As AI tools become more capable and more deeply integrated into day-to-day workflows, those same skills can help you coordinate multiple AI agents. Notice what changed. AI can generate impressive solutions in seconds, but the first answer isn’t always the best.