Free Resources for Stealth Coding Interviews.
Everything we ship for free — the open detection simulator, the engineering deep-dives, the pre-flight guides, every comparison and platform field guide. Use them to verify your tool of choice, including ours.
The /proctor simulator.
Run the same detection vectors a real coding-platform proctor uses — keystroke logging, window focus, clipboard, devtools, screen geometry, screen capture. 60 seconds, no signup. Test any AI interview tool, including ours.
Open in a fresh tab next to whatever overlay you are evaluating, run the hotkey, and watch which vectors light up. If something fingerprints, you see it before the proctor does.
How the architecture actually works.
Engineer-to-engineer posts on the Windows internals that make ring-0 stealth possible. The four-layer post is the canonical one; the rest go deeper on specific surfaces.
Memory read vs screen-capture OCR
Why FaangCoder reads problem text from process memory at the kernel — and why every screenshot-then-OCR pipeline is slower, lossier, and more visible.
The four stealth layers
Display-pipeline filtering, process concealment, window-enumeration blocking, detection-query spoofing — the four kernel layers that make us structurally invisible.
CoderPad Enterprise's anti-cheat
A forensic walkthrough of CoderPad Enterprise's detection stack — content scripts, hotkey enumeration, screen-share fingerprinting, process probes.
WDDM and the display pipeline
A 30-minute tour of the Windows graphics stack — application surface to display miniport — and where in that stack a screen-capture API can be filtered.
Run these before the round.
Setup playbooks, decision frameworks, and platform-specific hygiene. Read the one matching the assessment you have scheduled.
The Windows stealth setup
10-step Windows-native setup guide for FAANG interviews. Hardware, screen-share hygiene, dual-monitor workflow, the things Mac guides do not cover.
Should you use AI on this round?
Eight forks, no preaching: a senior engineer's framework for deciding whether to use AI on a specific coding-interview round in 2026.
Using AI on a HackerRank assessment
Pre-flight checks, in-round rules, and post-round hygiene for using an AI interview tool on a HackerRank assessment in 2026 — six-vector stack.
Does CoderPad detect AI usage?
CoderPad's 4 detection vectors for 2026 explained — and which AI tools survive each. Includes the CoderPad Enterprise variant (Amazon Chime + server proctor).
Six head-to-head comparisons.
FaangCoder vs every named direct competitor, with pricing, architecture, detection profile, and feature breakdowns. The 2026 audit data sits behind every verdict.
FaangCoder vs Interview Coder
$60/mo subscription, Mac-first
FaangCoder vs UltraCode
$899 lifetime, opaque architecture
FaangCoder vs LockedIn AI
$1,499 lifetime, cross-platform
FaangCoder vs Final Round AI
$149/mo, browser extension bundle
FaangCoder vs AIApply
$29/mo mass-applicant funnel
FaangCoder vs LeetCode Wizard
leetcode.com-only browser extension
Field guides per coding-interview platform.
What each platform's anti-cheat surface actually does, what FaangCoder does in response, and what the recruiter sees on the other side of the screen-share.
FaangCoder on HackerRank
Full-screen mode, tab tracking, MOSS similarity
FaangCoder on CodeSignal
IQ Score keystroke biometrics, LLM-corpus matching
FaangCoder on CoderPad
Sandbox + Enterprise + Amazon Chime
FaangCoder on LeetCode
Practice, contests, LeetCode for Companies
The Discord.
~5,000 engineers swap proctor sightings, share configs, and report mid-round results. Founder posts weekly with roadmap updates and bug fixes.
Going into a CoderPad Enterprise round in the next 48 hours? Ask in #live. Someone in the channel ran a comparable loop last week.
The glossary.
Plain-language definitions of every kernel-stealth, anti-cheat, FAANG-loop, and Windows-internals term we use across the engineering posts and the product surface. Useful as a sidebar tab during your first read of the deep-dive cluster.
Coverage.
Independent mentions, candid reviews, and threads we have watched. Brand-quiet by design — every entry on this page is a real, verifiable URL. Empty sections stay empty until something real shows up.
All free. Use them, including against us.
When you are done auditing, FaangCoder is $399 lifetime ($199/mo monthly option). 14-day refund, no questions.