华为云智能辅助编程技术是一项致力于从智能生成、智能问答和智能协同三个方向探索开发新范式的技术。其核心目标是通过智能化需求管理分析、新增代码开发、存量代码优化、代码质量看护、应用便捷部署等多种研发场景，全方位地重塑软件开发，从而提升开发效率。CodeArts Snap 是华为云智能辅助编程技术的一个重要应用，利用华为云自主研发的代码大模型和软件分析技术，融入 CodeArts 系列 IDE 中，为开发者提供智能编程助手的功能。 CodeArts Snap 智能编程助手可以帮助开发者更高效、更可信地进行开发工作。

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

In this talk we will cover contemporary challenges and problems of current IDE platforms. We will start from a short history of IDE design, then we will go to problems that we encountered while working on our own IDE products, outline architectural and design decisions as well as trade-offs that we made during our journey. Then we will cover some insights on how UX and UI experience may evolve in near future. At the end we will present our vision of the future IDE platforms design, new requirements and opportunities that we think must be taken in account. As usually we also will cover potential impact of AI on the platforms and what we can expect in the near future.

Outline
1. What is the difference between IDE and IDE platform?
2. Evolution of the IDE platforms
3. What are the emerging challenges of IDE platforms
4. Our view of unified UX/UI ecosystem for the IDE platforms
5. What are the trade-offs that we do, what we believe will be an evolution of IDE platform.
6. How AI will change the platforms? What changes we can expect in 3-5 years?

Takeaway

• What is IDE platform, what are the requirements to the good platforms
• How they evolve over the time, current limitations
• How UX and UI depends from platform
• What are the emerging requirements to future platforms

Type inference enginesis probably most important component in the area of the tooling for dynamically typed languages. We will start from explaining why it is important, what features depend on it, and what the key characteristics of type inference engines. Then we will cover main approaches that can be used for type inference, share design and implementation of our type inference engine, show some metrics of our solution as well as discuss further evolution and what we think coming next in the area.

Outline

1. What is type inference engine, why they are needed?

2. What are types of type inference engines in the world.

3. What are the extra requirements to the engine that are coming in IDE environment?

4. Our view on type inference process, our design of TI engine

5. Metrics, use cases, limitations

6. What is coming next?

Takeaway

• What is type inference engine, why it is important
• What approach we use and what we achieved so far