In this topic we will start from short history of applying AI to code completion and code generation tasks. Then we will discuss current use cases and applications of AI in IDEs; Outline our vision of challenges of successful application of AI to IDEs, share some real metrics and results of AI based tooling, quickly discuss current impact of AI on the development process. Then we will cover other use cases where AI can change the way how we develop, test and debug code and at the end we will outline our vision of how AI may change development process in upcoming years, evolution of AI based approaches as well as potential game changers.

Outline

1. History of AI + tooling

2. Current state of art

3. Practical contemporary challenges of applying AI

4. Light and Heavy AI

5. What we learned – some advices

6. Shape of the future how we feel it

Takeaway

• how and when utilize AI in their own tools,
• what are the likely changes in AI + tooling landscape in the future