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This guide compiles Thoughtbot's collective experience with AI tools in development to save time and improve knowledge sharing. It summarizes: - Frequency of AI usage - AI models and tools being used - Where AI is used (editor, browser, terminal, etc.) - Tasks AI supports (coding, debugging, testing, code review, planning) - Prompting strategies employed - Agentic AI usage and associated tasks - Tools used by task How it works: 1. **Survey and gather input** – Once a quarter, the team provides input on which AI tools they are using, how they are using them, and what has or hasn’t worked. 2. **Create a shared guide** – Survey responses are collected here to give visibility into what people are actually using, allowing team members to learn from others’ experiences and decide what to experiment with themselves. This outcome is the result of the **Fusion-based AI task force**. - Initial creation of the AI task force: [How to get the best out of AI task force](https://hub.thoughtbot.com/messages/how-to-get-the-best-out-of-ai-task-force) - Link to the survey: [The AI Development Survey](https://hub.thoughtbot.com/messages/the-ai-development-survey) The guide is a living resource, updated regularly with survey input, to help team members learn from each other’s experiences rather than starting from scratch. Co-authored-by: [email protected] Co-authored-by: [email protected]
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This guide compiles thoughtbot's collective experience with AI tools in development to save time and improve knowledge sharing.
It summarises:
How it works:
This outcome is the result of the Fusion-based AI task force.
The guide is a living resource, updated regularly with survey input, to help team members learn from each other’s experiences rather than starting from scratch.
Co-authored-by: [email protected]
Co-authored-by: [email protected]