ClaudeBench Drift

Claude Code model regression monitor

Detect Claude Code regressions before production PRs.

View pricing plans

Turn 20 historical PR and failed-ticket tasks into a daily private benchmark for Claude Code, Codex, Cursor, Gemini CLI, and OpenCode, with success rate, cost, time, drift, and failure replay evidence.

Private repo sandbox Daily agent runs Failure replay ROI export
Daily drift run 20 tasks sampled from PRs
Claude Code -9 pts
Agents
Best success88%Codex
Median cost$14.8per 20-task run
Drift alert-9 ptsvs last approved run

Agent comparison

Success rate by agent

Reliability curve

Last 7 scheduled runs
Codex stable Claude Code drift

Failure replay

Top reasons
  • Context loss: forgot migration helper after file search.
  • Tool call: test command timed out after retry loop.
  • Wrong edit: changed payment fixture outside task scope.

Regression control loop

Replace agent anecdotes with repeatable engineering evidence.

ClaudeBench Drift turns real PR history into a measurable benchmark that survives model updates, vendor comparisons, and procurement reviews.

01

Private task benchmark set

Sample 20 stable tasks from PRs, failed tickets, flaky test repairs, and review corrections while stripping secrets and production-only context.

02

Cross-model comparison

Run Claude Code, Codex, Cursor, Gemini CLI, and OpenCode under the same budget, repo snapshot, tests, and acceptance criteria.

03

Version drift alerts

Compare before and after model, CLI, prompt, or tool updates so teams can pause rollout when success rate or cost moves the wrong way.

04

Sandboxed CI runs

Use minimal task fixtures, scrubbed logs, and restricted tool policies so benchmarks do not expose production secrets or mutate live systems.

Procurement-grade output

Show the CTO and finance team what seats actually buy.

Every run produces a concise report with task success rate, agent cost, elapsed time, review cleanup notes, failure categories, and ROI assumptions. It is built for the meeting where someone asks whether Claude Code, Codex, or another agent deserves wider adoption.

Team annual spend$894
Successful tasks17 / 20
Median engineer cleanup11 min
Seat recommendationExpand to 8 users

Pricing

Start with Team annual for daily regression runs.

Annual billing is selected by default and billed at 50% off the month-to-month total.

Dev

Solo maintainer or pilot team

$19.5 / mo

Billed annually as $234; annual is 50% off.

1 repo, 20 tasks

  • Private task seed set
  • Weekly benchmark run
  • Claude Code and Codex comparison
  • Failure reason summary
Default

Team

Engineering teams adopting coding agents

$74.5 / mo

Billed annually as $894; annual is 50% off.

20 repos, daily runs

  • Everything in Dev
  • Daily cross-agent regression monitor
  • Model and CLI drift alerts
  • Failure replay evidence
  • CTO and finance ROI report

Fleet

Platform, vendor, and enterprise AI teams

$249.5 / mo

Billed annually as $2,994; annual is 50% off.

100 repos, vendor reports

  • Everything in Team
  • Seat ROI portfolio reports
  • Custom task taxonomy
  • Sandbox policy controls
  • Vendor comparison exports

Implementation guides

Useful references for agent reliability decisions.

Claude Code regression monitor Claude Code Regression Monitor for Engineering Teams

Monitor Claude Code on private coding tasks, compare daily success rate, cost, time, model drift, and replayable failure reasons before releases or renewals.

 AI coding benchmark AI Coding Benchmark Built from Your Real PR History

Build an AI coding benchmark from real pull requests and failed engineering tickets, then measure task success, test evidence, cost, time, and reliability.

 coding agent reliability test Coding Agent Reliability Test for Daily Engineering Work

Run a coding agent reliability test that measures task completion, test pass rate, cost spikes, tool failures, context loss, and unsafe edits.

 Claude Code model drift Claude Code Model Drift Detection

Detect Claude Code model drift by comparing private task success before and after model, CLI, prompt, or toolchain changes.

 Codex vs Claude Code benchmark Codex vs Claude Code Benchmark for Real Codebases

Compare Codex and Claude Code on private engineering tasks with success rate, failure replay, cost, elapsed time, and review evidence.

 AI coding ROI report AI Coding ROI Report for CTO and Finance Reviews

Create an AI coding ROI report that connects coding agent success rate, cost, time saved, cleanup effort, and seat spend.

 agent task success rate Agent Task Success Rate Tracking

Track agent task success rate by model, repo, task type, CLI version, and failure reason to understand when AI coding agents are reliable.

 coding agent failure replay Coding Agent Failure Replay for Debuggable Benchmark Results

Replay coding agent failures with prompts, tool calls, diffs, tests, costs, and failure classifications so teams can fix prompts or vendor risk.

Common questions

Built for teams that need confidence before scaling coding agents.

Does ClaudeBench Drift require production secrets?

No. The benchmark should use scrubbed, minimal task fixtures and CI sandboxes. The product is designed around repeatable tasks, not production credentials.

Is the Team checkout billed annually by default?

Yes. Team annual is selected by default, billed as $894 for the year, which equals 50% off the monthly total.

Can the benchmark compare more than Claude Code?

Yes. The comparison model is built for Claude Code, Codex, Cursor, Gemini CLI, OpenCode, and other agents that can run in a controlled task sandbox.