With only 33% of developers trusting AI accuracy, the need for robust code review, diffing, and selective reverts is paramount. These are core IDE functions, shifting the development bottleneck from code generation to code verification, a task best handled within an editor.
Despite AI's promise to reduce menial work, developers still spend 23-25% of their week on repetitive tasks. The nature of this "toil" has simply changed from writing boilerplate code to the more complex and time-consuming task of validating and debugging plausible-looking AI-generated code.
Data from the Stack Overflow Developer Survey shows VS Code's daily usage increased to 75.9%. This suggests developers are using new AI tools like Cursor and Claude Code alongside their primary IDE, rather than replacing it, solidifying the IDE's role as the central workspace.
As major AI players like SpaceX/Cursor and Anthropic build closed ecosystems and change pricing, companies face significant vendor lock-in risk. An open IDE layer that supports multiple AI models becomes a strategic asset, allowing teams to avoid price hikes and switch to better models without overhauling workflows.