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Cursor, Claude Code, and GitHub Copilot Workspace are agents specifically for writing software..
Cursor, Claude Code, and GitHub Copilot Workspace are agents specifically for writing software.
They don't just suggest one line — they take a goal ('add a search feature'), write code across multiple files, run tests, and fix bugs they find.
The big idea: Coding agents are changing how software gets built — humans review what AI drafts.
15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-agentic-agent-coding
What distinguishes coding agents like Cursor from simpler AI code helpers?
A developer tells a coding agent 'add a search feature.' What typically happens next?
Which of these is NOT one of the three main capabilities of coding agents mentioned in the material?
What role do humans play in the workflow with coding agents?
Which of these is an example of a coding agent?
What does the term 'PR' stand for in the context of coding agents?
Why might a company choose to use coding agents?
When a developer gives a coding agent a goal like 'add a login button,' how many files might the agent edit?
What happens during 'review' in the coding agent workflow?
What makes coding agents different from basic autocomplete tools?
If a coding agent's tests all pass, what is the typical next step?
Which statement best describes how software gets built with coding agents?
What type of task would be LEAST suited for a coding agent?
What is one benefit of having a coding agent suggest refactors?
Based on the material, what is the biggest change coding agents bring to software development?