Get comfortable with the terminology behind Windsurf's agentic coding mode.
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At standup, a dev mentions using an AI-native code editor with an agentic "Cascade" mode for multi-step changes. Which editor is this?
Windsurf is an AI-native code editor whose agentic mode, called Cascade, can autonomously plan and execute multi-step coding tasks across a codebase. It goes beyond simple inline autocomplete to full task-level automation. This positions it alongside other agentic IDE tools.
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During a design review, the team wants the editor's agent to see relevant context automatically without manually attaching every file. Which capability enables this?
Windsurf's agentic mode performs automatic context retrieval across the codebase, indexing and surfacing relevant files so the agent doesn't require every file to be manually attached. This reduces friction for large, unfamiliar codebases. It is a defining feature of AI-native editors versus plain autocomplete tools.
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In a code review, a dev wants to review and approve each agent-proposed change before it's applied. Which pattern supports this?
Windsurf presents agent-proposed changes as reviewable diffs the developer can accept, reject, or edit before they're applied to the codebase. This keeps a human in the loop for correctness and safety. It mirrors the trust model of reviewing a teammate's suggested patch.
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An incident report shows the agent made a sweeping change across many files that the developer didn't intend. What practice would reduce this risk?
Giving the agent a narrowly scoped task and reviewing diffs incrementally rather than accepting large sweeping changes wholesale reduces the risk of unintended modifications. Broad, vague prompts increase the chance the agent over-reaches. Incremental review is the standard mitigation for agentic editing tools.
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During a PR review, a teammate asks how Cascade differs from simple line-by-line autocomplete. What is the distinction?
Unlike line-by-line autocomplete, Cascade can plan a multi-step task, touch multiple files, run commands, and iterate based on results, acting more like an autonomous collaborator than a predictive text suggester. This agentic capability is the core differentiator of AI-native editors. It shifts the developer's role toward reviewing and directing rather than typing every line.