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Benchmark the agent change you're about to make

Someone wants a cheaper model, a different agent or broader tool access. Each can help. Each can also move the cost into failed checks, extra review rounds and cleanup. Fullbeam runs the exact change on your own merged PRs before it becomes everyone's default.

In practice

What this looks like on your code

Every result links back to the setup, the tasks and the commit it came from. If something wasn't measured, you see that too, instead of a number that looks complete.

01

Cut coding-agent cost

Your bill went up and someone suggested a cheaper model. See what a passing task costs on each setup, counting failed attempts and retries, before you switch.

02

Change a model or harness

Moving to a different agent or model changes more than the model. Compare both complete setups on the repos they'll touch, from routine fixes to auth and migrations.

03

Plan model routing

Find the kinds of work where a cheaper model holds up, where a frontier model still earns its price, and where there aren't enough tasks yet to tell.

04

Widen autonomy carefully

New tools, broader permissions, subagents, longer sessions and automatic retries are setup changes too. They change what an agent can break, so benchmark them like any other change.

05

Select or renew a vendor

Public scores are fine for a shortlist. After that, run each vendor's agent on your own repos, graded by the tests your team merged. Today that means Claude Code, Codex or OpenCode.

06

Standardize shared defaults

Turn scattered instructions, skills, MCP tools and permissions into one versioned setup, and benchmark each new version before teams inherit it.

Got a coding agent change coming up?

Cost is usually the first question. After that, every new model, agent, tool, permission or workflow change is another setup to benchmark before your teams inherit it.

Your current setupThe change you want to tryPRs you already mergedAn answer for each kind of work

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