CodePair
Live coding interviews in the tools engineers use every day
Work side by side in a shared IDE, terminal, and repo so you can see how candidates debug, collaborate, use AI with judgment, and explain decisions as they build.
Trusted by engineering teams worldwide
4.9
4.9
5
Live collaboration
Evaluate collaboration and judgment as it happens
You are not guessing from stress performance or memory tricks. You are watching collaboration unfold over live code changes with shared context, live cursors, and the same project state on both sides.
Shared project state
Both sides work inside the same environment, so follow-up questions stay anchored to real code instead of hypotheticals.
Visible decisions
Review how candidates navigate the repo, explain tradeoffs, and respond when the work changes direction.
Calmer technical conversations
Starting from real context makes the interview feel more like pair work and less like performance theater.
src/components/TodoApp.jsximport ( useState ) from 'react';
function TodoApp() {
const [todos, setTodos]
= useState([]);
return (
<div>
}
Continuity
Pick up where the take-home left off,live in a full dev setup
Bring repo-based take-homes into CodePair with the same files, services, and build context. The follow-up starts in the work itself instead of on a disconnected prompt.
Same files, same context
Follow-up starts from the code the candidate already wrote, so the next question is immediately more useful.
Builds and previews stay live
Run the application, inspect the output, and keep the conversation anchored to the working system.
Better continuity for reviewers
Reviewers can pick up where the take-home left off instead of reconstructing the candidate’s decisions from scratch.
Terminal
candidate@interview:~/todo-app$ npm run dev
Full shell access
Builds, previews, and debugging in one place
Run the app, inspect output, debug issues, and talk through tradeoffs in the same session. CodePair works best when the interview feels like engineering work, not theater.
Full bash or zsh terminal
Use the command line the way engineers normally do, with the standard utilities already available.
Language-native package tooling
Install packages, run tests, and work through dependencies with the tools each stack expects.
Services and data stores
Work with databases, caches, and supporting services inside the same environment instead of narrating around them.
Terminal
user@codepair~/project$
Setup acceleration
Build realistic interview environments faster
Use AI to scaffold interview environments, sample data, and scenario variations that still reflect the work you actually hire for. Move faster on setup without falling back to generic prompts.
Environment scaffolding
Draft flake.nix files, docker-compose setup, and full-stack configurations without starting from a blank file every time.
Grounded sample data
Generate realistic schemas, users, and API shapes that make the task feel specific rather than generic.
Role-calibrated scenarios
Adjust the environment for junior, senior, and lead-level interviews without rebuilding it from scratch.
AI Challenge Creator
Advanced Mode
Stack support
Supports the stacks your team actually hires for
CodePair runs in Nix-powered environments, so you can interview in the languages, frameworks, and supporting services the role actually uses. Stay close to the stack instead of flattening everything into one generic editor.
Role-shaped environments
Interview in the runtime, framework, and supporting services the team already depends on.
Breadth without drift
Languages, frameworks, and services are reproducible across sessions instead of rebuilt by hand every time.
Full-system follow-up
Talk through the same application layers candidates would touch on the job: frontend, backend, infra, and data.
No stack flattening
You are not forced back into one generic editor when the role actually spans apps, services, and infrastructure.
Stack coverage
One interview surface for the stack the role actually depends on.
Frontend apps, backend services, data systems, and infrastructure all stay in play. Candidates work closer to the real stack, and reviewers get signal that maps back to the job instead of a flattened browser exercise.
Languages
100+
From mainstream product stacks to specialist runtimes
Packages and services
1000+
Reproducible through Nix-backed environments
System context
Apps to infra
Services, databases, queues, terminals, and previews in one session
Session setup
Reproducible
Consistent sessions without installation roulette
Frontend and product
Interview in the tools used for shipping web and mobile products.
Backend and services
Stay close to APIs, data processing, and production-facing application logic.
Data and infrastructure
Run the supporting services, data stores, and network pieces the system depends on.
Start using CodePair today
Launch CodePair from a challenge, a repository, or Quick Create and get to the technical conversation faster.
No braindead code challenges just real-world tasks for real-world engineers. That's why we at Finn love CodeSubmit.
Andreas Stryz
CTO @ FINN
