Coding-agent data
Coding-agent and SWE-bench evaluation data from software engineers
Coding agents are graded on whether the code actually works, which takes engineers who can read a diff and run it, not crowd workers. Pathwize routes code evaluation, SWE-bench-style tasks and demonstrations to verified software engineers, with provenance on every judgment.
Read the guideTalk to us about coding-agent data
Where the usual approach falls short
Public benchmarks are saturated and leaked
Models have seen GSM8K, MATH and much of the public coding benchmarks. You need fresh, expert-written tasks a model has not memorised to measure real capability.
Only engineers can grade agent output
Whether an agent's patch fixes the issue without breaking the repo is an engineering judgment. A crowd worker cannot read the diff, run the tests, and tell.
No trail on who judged the run
When an eval decides a release, you need to show the grading was done by qualified engineers under a known rubric, not guessed.
What you get
Verified software engineers
Tasks are judged by engineers whose experience is verified and matched to the stack and the problem, tested first on your own data.
Runnable, reasoned evaluation
Each judgment carries what was run and why it passed or failed, so you get an engineering rationale, not a bare score.
Fresh, expert-written tasks
Beyond grading, engineers author new SWE-bench-style tasks and demonstrations a model has not seen, to beat benchmark saturation.
EU residency and provenance
Pathwize is based in Germany; data stays in the EU, and every judgment records who made it, when, and how long it took.
How the engagement runs
Define the eval
Specify the repos or task type, the stack, and the rubric for pass or fail (tests green, no regressions, idiomatic).
Matched engineer panel
A verified panel is assembled for the stack and domain, tested first on your own data.
Judged with provenance
Engineers run and review each output in a sandboxed workspace; the result and rationale are captured on a signed trail.
Auditable delivery
Receive the eval data or authored tasks plus a reproducible provenance bundle.
What you receive
- Coding-agent evaluation results with per-item, runnable rationale
- Newly authored SWE-bench-style tasks and demonstrations on request
- Experience record and stack for every contributor
- Signed, timestamped provenance for each judgment, EU data residency
FAQ
Coding-agent data, answered
Verified software engineers matched to the stack and problem, tested on your own data before they join. You see their work and approve who continues.
Yes. Engineers author new SWE-bench-style tasks and demonstrations a model has not seen, which is the point when public benchmarks are saturated or leaked.
Crowd platforms are cheap for simple labels but cannot judge whether a patch works. Pathwize uses verified engineers who run and review the output, with a provenance trail.
Verifiable coding-agent data, on your data
Source expert data with provenance built in, EU-native and audit-ready. Book a demo with your ML and compliance teams.