Measure coding-agent results beyond tokens and lines of code
Track accepted changes, review effort, cycle time, and regressions without confusing activity with impact.
Hoplite Blog3 min read
engineering
9 stories
Evaluate a coding agent on 30 real backlog tickets
A practical study design for measuring accepted work, failed attempts and reviewer effort across a real backlog.
Hoplite Blog3 min read
Choose a coding model using the work your team actually does
Compare coding models on representative tasks, review effort, retries and cost before choosing a default.
Hoplite Blog3 min read
MacBook overheating while coding agents run? Check what they started
Identify the processes behind sustained heat, reduce unnecessary local work, or move the agents to cloud sandboxes so the laptop stops running builds.
Hoplite Blog3 min read
Coding agents keep running your Mac out of memory. What to check first
Use memory pressure and process ownership to diagnose RAM exhaustion, reduce concurrency, or move the agents' browsers and test workers into cloud sandboxes.
Hoplite Blog3 min read
Why your MacBook gets slow when you run several coding agents
Find whether parallel agents are limited by local compute, memory, services, or a remote model, or skip the tuning and give each agent its own cloud sandbox.
Hoplite Blog3 min read
Using Hoplite to build Hoplite
What our published use of Hoplite says about delegation and a workflow for making agent work reviewable.
Hoplite Blog3 min read
What should a cloud coding agent be allowed to access?
Understand Hoplite's source-control boundary, sandbox secrets, tool approvals and the access decisions your team still needs to make.
Hoplite Blog4 min read
What does a merged agent pull request actually cost?
Measure agent costs across inference, reported compute charges, failed attempts and human review.
Hoplite Blog3 min read
Showing 9 of 9 stories
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