How we verify code
Verification is a sequence, not a single pass. Squid validates file graphs, runtime behavior, interactions, and portability as part of the delivery story.
Proof-first funnel
Proof signals for higher-confidence decisions
Use these checkpoints before committing spend.
Before / After
Before/after workflow
Capture the goal, generate, review, iterate, and verify before export.
- Plan and cost expectations before build
- Review checkpoints before each restore
- Export only after the acceptance script passes
Restore + Export
Reversible edits and handoff
Keep checkpoints, require scoped rollbacks, and export with manifest, quality report, and deployment instructions.
- One restore creates one explicit new checkpoint
- Restore history stays visible for auditability
- Export includes manifest, report, and deployment files
Spend + Artifacts
Cost clarity and output traceability
Confirm expected credits before run, compare with actual usage, and review exported files before shipping.
- Expected usage shown before generation
- Actual usage and refunds after completion
- Post-build artifacts checked in a clean environment
The short answer
Follow this process to know what has passed, what still needs review, where risk remains, and what to test locally before shipping so every release has a defendable evidence trail.
Source graph checks
Resolved imports, complete file sets, and consistent exports are validated before acceptance claims.
Runtime and accessibility checks
Automated verification covers build-level issues and accessibility basics so teams can catch obvious regressions early.
Diff-aware verification
Diff scope should be readable and explainable to humans before the next milestone is accepted.
Review after each focused edit
Narrow edits are verified against unchanged areas so you can maintain local and product stability.
Post-export checks
A local clean install/build and manual interaction pass confirm that verification survives outside preview mode.
FAQ
Frequently asked questions
Direct answers to the questions buyers and builders ask before committing a project to an AI app builder.
What is the difference between pass and warning?
Warnings are often recoverable. A passed check means the project met explicit acceptance criteria.
How long should verification take for each project?
As fast as your baseline checks but strict enough to prevent silent regressions before shipping.
Can verification replace human QA?
No. It reduces risk and clarifies failure points, but human review is still needed for business logic and edge behavior.
How often should verification artifacts be refreshed?
Refresh them after each significant edit, framework update, and dependency change so the evidence remains tied to the current running code.
Keep researching
Related guides and comparisons
Build an app you can inspect, restore, and keep.
Define your acceptance criteria, confirm expected credits, lock the first checkpoint, and run through the checklist before you export.