Cline explained: one coding agent across several interfaces
Measuring Cline cost: include retries, review and failed edits
Use accepted repository changes as the denominator for an agent evaluation.
What you will learn
- Fix the task and acceptance test
- Separate reported usage from invoices
- Bound unattended experiments
Before you start
- Basic terminal and Git knowledge
- Disposable repository without secrets
A learning project separates streamed events, tool actions and verified repository outcomes.
Key takeaways
- Accepted changes are the useful outcome.
- Verbose costs may be estimates.
- Retries can add both cost and risk.
Fix the task and acceptance test
Choose a small bug with a reproducible failure and a known acceptance test. Record the starting commit, prompt, provider, model and tool policy. Changing several at once makes cost comparisons difficult to interpret.
Count accepted changes, rejected patches and manual corrections. An agent that produces a patch quickly may still create more review work than a slower run that preserves behavior and adds a useful test.
Separate reported usage from invoices
The CLI documents verbose runtime statistics, including tokens and estimated cost when available. Estimates depend on provider metadata and are not a substitute for account billing or the cost of external tools.
Record model usage, tool execution time, reviewer minutes and repeated attempts. Keep missing fields unknown rather than filling them with guessed prices. Apache-2.0 licensing does not remove provider charges.
Bound unattended experiments
Set explicit run limits and use a disposable workspace with minimum credentials. Retry limits and elapsed-time limits address different failure modes; neither alone proves an external action cannot be repeated.
No coding-speed or cost benchmark was executed for this series. The parser checks cannot support productivity claims. Report measured distributions and failures only after a controlled run under your actual provider and version.
Decision guide
| Criterion | Option A | Option B |
|---|---|---|
| Best when | You need predictable behavior and easy auditing | You need adaptive optimization and have reliable telemetry |
| Main risk | May leave performance on the table | Can become difficult to explain or debug |
Implementation steps
- 1
Fix one bug and its acceptance test.
- 2
Track usage, review and retries separately.
- 3
Include rejected patches in results.
Copy-ready example
trial,commit,provider,model,accepted,tokens,estimated_cost,review_minutes,retries
example,record,,,,,,,Frequently asked questions
Can token count alone rank coding agents?
No. Acceptance, review effort and tool costs also matter.
Are performance gains measured here?
No live coding benchmark was performed.
Sources
- Cline / apps/cli/README.mdSource checked 2026-09-23