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Deviera — Startup Profile
Startup

Deviera

Auto-resolve CI failures, stale PRs, and rework rate spikes

Development & IT

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About the startup

Deviera monitors your GitHub, GitLab, and Vercel pipelines to detect CI failures, stale pull requests, flaky tests, deployment issues, and error alerts across your repositories. This platform then routes these issues as structured tickets directly into your existing project management tools — Linear, Jira, ClickUp, or GitHub Issues — ensuring that technical debt and pipeline blockers are handled efficiently by your team. Key Features: Automated issue routing: CI failures, stale PRs, deployment events, and Sentry errors become actionable tickets in Linear, Jira, ClickUp, or GitHub Issues — no manual triage needed 107+ automation templates pre-built for common engineering workflows, deployable in one click Universal auto-resolution: when a pipeline recovers or a PR merges, Deviera automatically closes the linked issue across all your tools — Linear, Jira, ClickUp, GitLab, GitHub, and Sentry Smart deduplication prevents ticket spam — identical issues are grouped across a 30-day window Friction Score dashboard surfaces which PRs and pipelines are slowing your team down the most DORA Metrics dashboard tracks Deployment Frequency, Lead Time, Change Failure Rate, and MTTR — all computed automatically from your pipeline data (Pro+) Free public tools: CI Health Score and PR Cycle Time calculators — no account required What Makes It Different: Unlike generic alerting tools that dump noise into Slack, Deviera creates structured, actionable work items in the tools your team already lives in. It connects the gap between your CI/CD pipeline and your project management workflow automatically — across 8 integrations and 32 trigger types — so engineers spend less time triaging and more time shipping. Auto-resolution means tickets don't linger after the problem is fixed; your backlog stays clean without any manual cleanup. Real Outcomes: Teams using Deviera report fewer dropped CI failures, faster mean-time-to-resolution on pipeline issues, and less context-switching between GitHub and their PM tool. Engineering leads get visibility into DORA metrics and where their delivery pipeline is breaking down — before it becomes a sprint blocker.

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