AI coding workflow
Coding With AI That Survives Review
Answer first
A useful run with an AI coding tool starts with a small task and ends with a reviewable diff. In current Cursor, that workflow can include local Agent, Cloud Agents, Automations, Bugbot, Design Mode, Canvas and SDK agents, but the standard stays the same: scope, check, review and hand off.
What is the working pattern for coding with AI?
- Move
- Start with a bounded task
- Use this when
- Professional developers and technical teams that want AI help without losing review control.
- Proof to save
- Issue, files, checks and owner are named
- Move
- Give the agent context
- Use this when
- The repo has patterns the agent must follow
- Proof to save
- Prompt cites files, errors and constraints
- Move
- Review the diff
- Use this when
- The task changes production code
- Proof to save
- Changed files, test output and risks are visible
| Move | Use this when | Proof to save |
|---|---|---|
| Start with a bounded task | Professional developers and technical teams that want AI help without losing review control. | Issue, files, checks and owner are named |
| Give the agent context | The repo has patterns the agent must follow | Prompt cites files, errors and constraints |
| Review the diff | The task changes production code | Changed files, test output and risks are visible |
A good AI coding workflow is specific enough to review and small enough to recover.
Interactive diagram. Use Tab to move through hotspots or use the step controls when shown.
Use this loop when the change is larger than autocomplete and smaller than a full project rewrite.
Interactive diagram. Use Tab to move through hotspots or use the step controls when shown.
Start with a failing or missing behavior test, give the agent the touched package and run typecheck before review.
Pick the role, stack and task type before writing a prompt.

The public guide connects to lessons, recall and readiness checks inside Learn Cursor.
How should a team run coding with AI?
- 1Pick one real backlog item with a clear owner and expected result.
- 2Add only the context the agent needs: files, failing output, constraints and done state.
- 3Ask for a plan before code when the task touches more than one file.
- 4Run checks that match the risk: unit test, typecheck, visual pass or review checklist.
- 5Capture the prompt, diff, result and reviewer note so the workflow can be repeated.
Task, context, constraints, done state and checks.
Open the diff, read changed files and rerun the check yourself.
The page shows a workflow diagram, task checklist and links to stack-specific examples.
What should you keep after the run?
- The prompt or plan that shaped the work.
- The files changed and the reason each file changed.
- The command, screenshot or review note that proved the result.
- The rule, checklist or template you would reuse next time.
Which Cursor release facts should this page reflect?
- Surface
- Compile 2026
- Current fact to account for
- Cursor's June 16 event made Origin, larger from-scratch model training and Cursor Mobile the highest-signal new topics to track.
- Surface
- Origin
- Current fact to account for
- Cursor describes Origin as a git forge for the agentic era; the public page is currently waitlist-first, so migration and security details need refresh.
- Surface
- Model and mobile
- Current fact to account for
- Composer 2.5 is available now; Cursor says a larger model is training with SpaceXAI. Mobile-native details remain beta/forum-sourced unless Cursor publishes a product page.
- Surface
- Automations
- Current fact to account for
/automate, Slack emoji triggers, GitHub issue/comment/review/workflow triggers, computer use, PR defaults and memory cleanup.
- Surface
- Cloud Agents
- Current fact to account for
- Guided cloud environment setup, reusable snapshots,
.cursor/environment.json,/in-cloud,/babysitand local/cloud handoff.
- Surface
- Review
- Current fact to account for
- BugbotCursor's automated PR reviewer that posts inline findings and can push fix commits from isolated VMs. averages about 90 seconds, is powered by Composer 2.5, finds 10% more bugs per review and can run before push with
/review.
- Surface
- Design and Canvas
- Current fact to account for
- Design Mode supports multi-select and voice queueing; canvases support Design Mode, context reports, Debug with Agent, full-screen sharing and prompt buttons.
- Surface
- SDK and run modes
- Current fact to account for
- SDK agents can use custom tools, auto-review, JSONL/custom stores, nested subagents and request IDs; Auto-review Run Mode routes tool calls through safer execution paths.
- Surface
- Enterprise and pricing
- Current fact to account for
- Organizations sit above teams, groups scope model/spend/agent permissions, and Teams now has Standard/Premium seats with Auto + Composer and third-party API pools.
| Surface | Current fact to account for |
|---|---|
| Compile 2026 | Cursor's June 16 event made Origin, larger from-scratch model training and Cursor Mobile the highest-signal new topics to track. |
| Origin | Cursor describes Origin as a git forge for the agentic era; the public page is currently waitlist-first, so migration and security details need refresh. |
| Model and mobile | Composer 2.5 is available now; Cursor says a larger model is training with SpaceXAI. Mobile-native details remain beta/forum-sourced unless Cursor publishes a product page. |
| Automations | /automate, Slack emoji triggers, GitHub issue/comment/review/workflow triggers, computer use, PR defaults and memory cleanup. |
| Cloud Agents | Guided cloud environment setup, reusable snapshots, .cursor/environment.json, /in-cloud, /babysit and local/cloud handoff. |
| Review | BugbotCursor's automated PR reviewer that posts inline findings and can push fix commits from isolated VMs. averages about 90 seconds, is powered by Composer 2.5, finds 10% more bugs per review and can run before push with /review. |
| Design and Canvas | Design Mode supports multi-select and voice queueing; canvases support Design Mode, context reports, Debug with Agent, full-screen sharing and prompt buttons. |
| SDK and run modes | SDK agents can use custom tools, auto-review, JSONL/custom stores, nested subagents and request IDs; Auto-review Run Mode routes tool calls through safer execution paths. |
| Enterprise and pricing | Organizations sit above teams, groups scope model/spend/agent permissions, and Teams now has Standard/Premium seats with Auto + Composer and third-party API pools. |
These facts were checked against Cursor-owned release sources on 2026-06-23.
Stack guides
A step-by-step workflow for using an AI IDE on a real production-style change.
Keep readingHow to use AI coding tools in TypeScript repos with typecheck and review control.
Keep readingHow to use AI coding tools in Python services, scripts and data projects.
Keep readingHow to use AI coding tools for React UI changes with visual review.
Keep readingHow to use AI coding tools safely inside modern Next.js apps.
Keep readingFrequently asked questions
Who is Coding With AI That Survives Review for?
Professional developers and technical teams that want AI help without losing review control.
What makes this page credible?
The page shows a workflow diagram, task checklist and links to stack-specific examples.
What should I do next?
Start with one real repo task, capture the prompt and review the result before scaling the workflow.
Editorial notes
Source review
- Last checked
- June 23, 2026
- Scope
- Cursor docs, Cursor Learn pages and product docs.
- Refresh
- Quarterly, plus changes to Cursor agent or CLI docs.
- Reviewer
- Learn Cursor editorial
Page assets
- Primary media
- Workflow selector.
- Supporting media
- Learn Cursor practice screenshot.
- Interactive element
- Workflow selector.
- Transcript
- Add a transcript when a recorded walkthrough is added.
- Refresh owner
- Learn Cursor editorial.
Content pod
- Pod
- Workflow pod
- Owner
- Editorial director
- Reviewers
- DevRel engineer, SEO lead, Senior editor
QA gate
- Human signal
- Includes a task-specific diagram, checklist or calculator.
- Claims
- Claims stay tied to sources, visible limits and page scope.
- Visual proof
- Uses product screenshots or annotated workflow diagrams, not stock art.
- Page rhythm
- Sections vary between answer, method, visual and action blocks.
Sources & last verified
- Cursor agent best practices
- Cursor Learn: working with agents
- Cursor Learn: context
- Cursor docs: prompting agents
Cursor ships frequently. Facts verified against primary sources on June 23, 2026.
