My AI-built app works in the demo but I do not trust the launch.
Run the production checklist before connecting real users or data.
AI coding field guide
Build with AI. Keep control.
Choose a small tool stack, run coding agents with clear boundaries, and turn an AI-built demo into software that is safe to launch.
Setup systemTask to reviewed release
Brief
Agent
Evidence
Release
3
roles: build surface, coding agent, independent checks
1
owner: a person decides what is ready to ship
Definition of done
Expected behavior works, failure is handled, access is correct, and rollback is ready.
Most AI coding problems are workflow problems.
A better model cannot fix a vague task, missing context, broad permissions, or an app that was never tested with real data. AI Coding Setup focuses on the decisions between the prompt and production.
Why this exists
The work is moving from assistance to supervised execution.
Agent-first workParallel
Coding work is shifting from one chat at a time to several isolated agents with a person directing the result.
Human advantageDirectionResearch on real coding sessions finds that people still lead planning while agents take more execution work.
Production gapControlProduction agent systems now emphasize approvals, sandboxes, durability, telemetry, and security checks.
Start with the pain
Fix the part that is blocking your next release.
Check an AI-built app before launch
I keep adding tools but the workflow is still messy.
Assign one job to each tool and remove overlapping subscriptions.
The agent changes too much and I cannot review it confidently.
Use bounded tasks, worktrees, approvals, and evidence at handoff.
Generated code looks right, but hidden risks keep appearing.
Review by behavior and consequence, not by how polished the code looks.
Choose by experience
Use the path closest to the work you do now.
I have an idea, not a codebase
Start with a managed app builder
Build one complete user flow, then verify login, data access, forms, deployment, and rollback before inviting real users.
Build your first website safelyI can read code and need to ship
Start with an AI editor and one coding agent
Keep the stack small, isolate larger tasks, review every diff, and use preview deployments as the final check.
Choose a practical setupI need agents to work on a real repository
Start with instructions, worktrees, tests, and approvals
Make tasks executable, control permissions, and require evidence at handoff before a person merges or releases the result.
Set up an agent workflowComplete guide path
Move from first build to a controlled release.
Start building
Go from idea to a working site without treating a generated demo as a finished product.
Choose a setup
Pick tools by the job, review style, privacy needs, and project risk instead of collecting subscriptions.
Run coding agents
Create repeatable agent tasks with useful context, isolated workspaces, clear permissions, and testable handoffs.
Review, secure, and fix
Catch dangerous assumptions, protect data, troubleshoot context, and prepare every important change for recovery.