ROI: what outcomes should we expect?

Teams using Cosine see measurable productivity gains — 20–40% faster delivery cycles, reduced backlog, and higher test coverage through automated, end-to-end task completion.

Cosine delivers measurable productivity gains for engineering teams, with faster delivery cycles, reduced backlog, and higher test coverage. By automating repetitive coding tasks, Cosine helps teams focus on high-value work and ship more reliably.

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Key impact metrics

Faster delivery cycles

Teams using Cosine typically see a 20–40% reduction in cycle time, thanks to automated task completion and PR generation. Routine engineering work — bug fixes, test creation, dependency updates — happens in parallel, freeing developers to focus on innovation.

Backlog reduction

Cosine can autonomously resolve 30–40% of backlogged issues that otherwise would remain untouched. It takes tasks directly from Jira, GitHub, or Linear, producing validated PRs that pass CI/CD checks.

Increased PR throughput

Customers report significant gains in output:

• One enterprise customer cleared a multi-hundred-ticket backlog in under an hour using Cosine’s parallel tasking.

• Cosine’s own engineering team has merged 1,900+ PRs since June using the platform internally.

Improved test coverage and quality

By automatically generating unit and integration tests, Cosine improves coverage and reduces regressions. Its validation loop catches bugs earlier, reducing mean time to resolution (MTTR).

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Financial and productivity ROI

Metric	Before Cosine	After Cosine	Improvement
PRs merged per month	100	160	+60%
Mean time to merge (MTTM)	3.5 days	2.0 days	-43%
Unresolved backlog items	1,000+	<600	-40%
Test coverage	55%	75%	+20 pts

Representative metrics from customer pilots and internal use.

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Strategic outcomes

• Higher engineering velocity: Teams can deliver more features per quarter without increasing headcount.

• Reduced operational debt: Backlogs shrink, documentation improves, and refactors happen proactively.

• Better morale and retention: Engineers spend less time on repetitive work and more on impactful problems.

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Real-world example

A financial institution used Cosine to automate a major cloud migration. The project, originally scoped for four weeks, was completed in two — with improved code quality and zero regression bugs post-merge.

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Related pages

• What problems does Cosine solve for engineering teams?

• What does implementation look like?

• Pricing and licensing options

→ Next: How does Cosine compare to alternatives?