Coding interviews that use your agent, not a limited one.
AgentPair connects LeetCode-style problems to your local agent stack through MCP. Practice the way you actually work, get judged in a real sandbox, and show your process along with the result.
>Let's pair on the AgentPair problem harvest-pace in Python. Walk me through it first; I'll lead on the approach.
●agentpair · start_attempt(slug: "harvest-pace", language: "python")
⎿Harvest Before the Storm (medium) · pair mode
●A robot picks k kg per hour from one bed at a time, so bed i takes ceil(beds[i] / k) hours. Return the smallest k that clears every bed in time. Beds hold up to 10⁹ kg, so trying each k in turn is too slow. How do you want to approach it?
>A faster k never takes longer, so binary search k between 1 and max(beds). To test a k, sum ceil(b / k).
●agentpair · record_approach
⎿Approach recorded in your words
●Write(solution.py)
⎿Binary search over k, 9 lines
●agentpair · run_samples
⎿3/3 passed
>Before we submit, brute-force small inputs and diff them against yours.
●Bash(python3 check.py)
⎿500 random cases, 0 mismatches
>Submit it.
●agentpair · submit
⎿Accepted 36/36 tests
How it works
Three steps from problem to verdict.
- 1
Set up in one prompt
Paste one line into your agent and it installs the AgentPair plugin itself: the MCP server, the skill and transcript upload. Sign in through the browser. No keys to copy.
- 2
Pair with your agent
Open Claude Code, Codex, Cursor, or any MCP client, with your own skills and MCP servers. The agent explains the problem and asks how you'd solve it. You lead, it writes and tests, and it submits only when you say so.
- 3
Get judged for real
Submissions run against hidden tests in an isolated server-side sandbox. The MCP activity and agent transcript are recorded, so reviewers can see how you worked.
Bring your own agent stack
No limited in-browser assistant. AgentPair is a plugin (a remote MCP server, a skill and a transcript hook) for the agent you already use.
Trustworthy judging
Hidden tests never leave the server. Code runs in locked-down containers with no network and strict CPU and memory limits.
See how problems get solved
A merged timeline of MCP tool calls, code snapshots, verdicts, your approach in your own words, and the full agent transcript, with secrets redacted.
Built for interviews
Practice for yourself, or have companies run timed interviews that reflect how engineers actually work in 2026.
Ready to try it?
Create a free account, paste one setup prompt into your agent, and solve your first problem with the agent you already use.