Categorizing the AI Developer Tooling Landscape with Amir Shevat. Discussing Copilot, Tabnine, AI Code Completion, AI Testing, AI Documentation and much more!

On today's episode, we're categorizing AI development tools to map out the AI Native Software development space. We'll introduce each category and discuss their significance, setting up deeper dives for future content.

Our guest is Amir Shevat, an expert in developer tools and investor with experience at Microsoft, Google, Slack, and Twitter. Amir will help us explore:

1. Code Completion Tools: Tools like Copilot and Tabnine that integrate into IDEs to enhance productivity.
2. AI Test Generation: Tools like Codium and Heal.dev that automate testing tasks to improve software quality.
3. AI Documentation: Tools such as Swimm and Tadata that automate and maintain code and user documentation.
4. DevOps Automation: Tools like Resolvd that automate deployment processes, aiming for a future where AI handles more complex DevOps tasks.
5. AI Monitoring and Debugging: Tools including second.dev that provide insights and identify irregularities in code performance.

We also touch on CICD, code explainers, performance tooling, security, UX, code reviews, data management, and autonomous agents.

Amir emphasizes that AI tools can automate many tasks, allowing developers to focus on defining business logic and ensuring code quality and user experience.

Join us next time for a detailed discussion on code completion with the folks at Tabnine. Share your feedback at podcast@tessl.io or on social media. Thank you, Amir, for a fascinating conversation.

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