Public Beta

Change how you code with AI.

code with AI.

Silent quality checks that keep your engineering judgment sharp— without slowing you down.

Set Up in 2 MinutesSee it in action

Step 8 done: removed maximumScale and userScalable from viewport...

pairimprover.check_session_quality
Result
nudges: ["The useAssistantSuggestion hook is nearly 1,000 lines — worth checking if it's doing too much before it becomes hard to test or modify."]
In a nudgeshell: After deploy, sanity-check zoom on real devices so responsive layouts still hold at larger effective scales.
Desktop-first trap — did you check mobile?Shipping a11y visually — the irony writes itself.Tests ≠ reality — the last mile is human.Compiles ≠ works — type fixes mask runtime bugs.Batch changes, zero checks — easy to get subtly wrong.Symptom fix, not root cause — where is that selector coming from?Build green ≠ fully green — especially after batch deletions.WebGL on mobile — test before you lock in.Desktop-first trap — did you check mobile?Shipping a11y visually — the irony writes itself.Tests ≠ reality — the last mile is human.Compiles ≠ works — type fixes mask runtime bugs.Batch changes, zero checks — easy to get subtly wrong.Symptom fix, not root cause — where is that selector coming from?Build green ≠ fully green — especially after batch deletions.WebGL on mobile — test before you lock in.

The Intelligence Chain

Not just suggestions.
A closed feedback loop.

Backend nudges. AI relays. You act. Backend validates the follow-through.

Backend

Nudge

Quality check spots a gap the AI missed.

"spot-check shuffle + API error paths vs old hook"

AI Session

Relay

IDE assistant surfaces it in the reply.

"In a nudgeshell: Give shuffle + API error paths a quick manual pass…"

Developer

Act

User adopts the nudge as the next prompt.

User copy-pastes the nudgeshell as their next instruction.

Backend

Validate

Next check validates the follow-through.

"implementation only shows test coverage — worth running in browser/staging"

Real Session

Watch the loop close

From an actual portfolio redesign session. WebGL background added — nudge catches mobile risk — tested — confirmed — fixed.

ReactBits portfolio upgrade — 6 checks

pAIrImprover — Check 4

FloatingLines was swapped in without checking how it performs on mobile or lower-end devices since parallax/animation-heavy backgrounds can tank performance — worth a quick mobile test before considering this locked in?

AI Assistant — nudgeshell

In a nudgeshell: FloatingLines was swapped in without checking how it performs on mobile or lower-end devices — worth a quick mobile test before considering this locked in?

Developer — next message

puh, good nudge. i've tried the localhost via ngrok on mobile and it works really slow. is this representative for production?

↑ Tested on real device after the nudge — confirmed the lag

Developer — follow-up

ok, we disable both FloatingLines and Prism backgrounds for mobile. both very laggy on mobile.

pAIrImprover — Check 6

No nudge. Clean implementation — desktop-only rendering with static gradient fallback on mobile. Nothing to flag.

Nudge → tested → confirmed → fixed → silence. The loop closed.

Dogfooding

Built by a developer who uses it daily

Every nudge on this page came from real coding sessions — the founder building real products with pAIrImprover running live.

Next.js refactor — 4 checks

Nudge said to check edge cases. Copied verbatim as next prompt. Follow-up caught tests were added but no manual verification was done.

nudge → relay → action → validation

ReactBits portfolio — 8 checks

WebGL background swapped in — nudge flagged mobile performance risk. Tested on real phone, confirmed lag. Disabled heavy animations in the same session.

final check: no nudge. clean code, no lecture.

Accessibility audit — 4 checks

Implemented focus traps, skip links, ARIA — all tested with a mouse. Every single nudge: “did you open a screen reader?”

shipping a11y visually — the irony writes itself

Sound Familiar?

Problems every developer has shipped

These nudges came from real coding sessions. Not edge cases — the everyday gaps that slip through when you're moving fast.

Performance

Desktop-first trap

WebGL background looked great on your MacBook — but did you check mobile? Parallax-heavy animations tank performance on real phones.

Accessibility

Shipping a11y visually

Implemented focus trap, skip link, and reduced-motion — then verified with a mouse and eyes. Never opened a screen reader.

Testing

Tests ≠ reality

Asked for manual verification of edge cases. AI wrote more tests instead. Green CI, zero human confirmation.

Correctness

Compiles ≠ works

TypeScript fix made the build pass — but type declarations can mask runtime issues that only show up in the browser.

Integration

Batch changes, zero checks

Accepted a batch of ARIA, contrast, and semantic changes without opening a browser. Easy to get subtly wrong.

Correctness

Symptom, not cause

Added OG metadata to fix a mobile crash — but the selector calling it isn't in your code. Where is it actually coming from?

Setup

Up and running in 2 minutes

01

Add the MCP server

Paste one JSON block into your IDE's MCP config. Works with Cursor, Windsurf, VS Code, Claude Code, and others.

02

Drop in the rule file

Download a small .mdc rule (Cursor) or CLAUDE.md (Claude Code). It tells the AI when to call quality checks.

03

Sign in once, code forever

One terminal command to authenticate via GitHub. After that, nudges appear automatically — no extra steps while you work.

Set Up now

Privacy-first. No exceptions.

Your code is analyzed and immediately deleted. Nothing stored. Nothing shared. No training on your data. Full transparency.

No data collectionNo code storageNo training

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AI coding sessions

Unlimited checks during public beta.
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