Field guide — FaangCoder on CoderPad

Using FaangCoder on CoderPad.

CoderPad is the live-coding editor used by ~70% of FAANG-tier loops — Sandbox, AI-content detection, paste tracking, and the Enterprise tier that pairs with Amazon Chime.

CoderPad is the most common live-coding round in the FAANG-tier interview loop. The consumer product is a focused editor with paste tracking and an AI-content detector. The Enterprise product layers a server-side proctor, custom content scripts, and Amazon Chime screen-share. FaangCoder's headline proof point — the one we stake the brand on — is that it has not been caught on CoderPad Enterprise.

Compatibility

Will it run on CoderPad?

Operating system

Windows 10 / 11 (x64)

Browser

Chrome / Edge / Firefox — CoderPad runs in any modern browser

Overlay model

Native Win32, no browser extension, no DOM injection

Known conflicts

None on CoderPad Sandbox or Enterprise. Both products treat the browser tab as the proctor surface; the desktop is out of scope.

Hotkeys

One Alt-combo per action.

Every workflow is a single keystroke. No mouse hunting mid-round, no menu pop-ups for the proctor to log.

ComboActionNote
Alt + EnterSolve — read problem, propose solution
Alt + 1Debug — re-read state, fix the failing test
Alt + 2Optimize — re-read once more, cut complexity
Alt + VVoice mode — read response audibly, keep eyes on camera-visible regionRecommended on CoderPad Enterprise rounds with Chime webcam.
Alt + 'Audio-priority solve
Hotkeys captured at the kernel keyboard hook — no `keydown` event leaks into the CoderPad tab.
Anti-cheat surface

What CoderPad's proctor actually does.

Vector

Paste detection

What it does

CoderPad logs every paste event into the editor and surfaces them in the recruiter's playback. A high paste count or large pasted block is a heuristic flag.

FaangCoder response

FaangCoder types the solution character-by-character at calibrated pacing. No paste events fire. The recruiter playback shows the same key cadence as your manual typing.

Vector

AI-content detector

What it does

CoderPad shipped an AI-content scoring layer in 2024 that estimates the probability that a submitted solution was generated by an LLM. Tunes against burst patterns, code structure regularity, and known model fingerprints.

FaangCoder response

Pacing controls + paraphrasing layer reduce the structural regularity. Rebuild patterns naturally during typing rather than emitting a single coherent block.

Vector

CoderPad Enterprise: server-side proctor + content scripts

What it does

Enterprise rounds add a custom proctor content script injected into the candidate's tab. The script runs in the page's JS context and can probe for browser-extension fingerprints, focus events, and clipboard activity at higher fidelity than the consumer Sandbox.

FaangCoder response

The content script runs in the browser tab. FaangCoder lives outside the browser entirely — there's nothing for the script to see. No `chrome.runtime.id` extension fingerprint, no DOM injection, no clipboard signature.

Vector

CoderPad Enterprise + Amazon Chime

What it does

Enterprise rounds typically pair with Amazon Chime for video and screen-share. Chime captures the screen via DXGI Desktop Duplication on Windows.

FaangCoder response

FaangCoder is excluded from the display pipeline before DXGI duplication can read the overlay region. The Chime stream shows the browser tab and nothing else.

Screen-share behavior

What the recruiter sees.

Consumer CoderPad doesn't run native screen-share — interviewers pair with Zoom or Meet. CoderPad Enterprise pairs with Amazon Chime, which uses DXGI Desktop Duplication to capture the screen. FaangCoder's display-pipeline strip happens upstream of DXGI, so the captured frames don't include the overlay region.

Test the screen-share behavior yourself on the /proctor page — same detection vectors a real proctor uses, runs in the browser, no install.

FAQ

CoderPad questions, answered.

Has FaangCoder been caught on CoderPad Enterprise?
Not in our testing as of May 2026, and not in any candidate report we have seen. CoderPad Enterprise is the round where lower-tier user-mode-stealth competitors (Interview Coder, UltraCode, LockedIn) have been flagged per public TeamBlind and Reddit reports. The kernel-level architecture is the reason FaangCoder lands differently. The full breakdown is in the CoderPad Enterprise anti-cheat post.
Does CoderPad's paste detector flag FaangCoder?
No, because no paste events fire. FaangCoder types the solution character by character at calibrated pacing. The recruiter's playback shows continuous typing, not a paste burst.
Will the proctor see anything in Amazon Chime?
No. Chime captures via DXGI Desktop Duplication, which is downstream of the display-pipeline filter. The captured frames include the browser tab and any other window the candidate intentionally shares — but not the FaangCoder overlay region.
What about CoderPad's AI-content detector?
The detector scores the submitted solution against an LLM-output probability model. Pacing controls + the paraphrasing layer reduce the structural regularity that drives high scores. We do not claim a 0% score — we claim "low enough to land in the band of normal-candidate variation."
Does CoderPad detect AI usage in general?
See our does CoderPad detect AI usage deep-dive. Short version: the detection vectors target the browser tab. Tools that live in the browser (extensions, web overlays) are easy catches. Tools that live as kernel-mode overlays outside the browser process tree are not.
Other platforms

Field guides for the rest of the loop.

Walk into the CoderPad Enterprise round prepared.

$399 lifetime ($199/mo monthly option). Install in 60 seconds, prove it on /proctor before the round.