# Deviera

> Deviera is an engineering intelligence platform for GitHub and GitLab teams. It automatically detects CI failures, stale PRs, flaky tests, and deployment issues — then routes them as structured tickets in Linear, Jira, or ClickUp, posts Slack notifications, and tracks the time your team saves. No manual triage required.

Deviera monitors GitHub and GitLab repositories via webhooks, computes a real-time Friction Score (0–100) reflecting engineering team health, and runs automation rules that create, assign, and close issues in project management tools without manual intervention. It integrates with GitHub (App + OAuth), GitLab (OAuth, cloud and self-hosted), Linear, Jira Cloud, ClickUp, Vercel, and Slack. Plans start free; Pro is $29/month; Team is $79/month.

## Feeds

- [RSS feed](https://deviera.dev/blog/feed.xml): All blog posts in RSS 2.0 format.

## Key pages

- [Homepage](https://deviera.dev/): Product overview, integrations, feature summary, pricing tiers, and FAQ.
- [Friction Score](https://deviera.dev/features/friction-score): The 0–100 engineering health metric — how it is computed, what the ranges mean, and how to improve it.
- [CI Intelligence](https://deviera.dev/features/ci-intelligence): Flaky test detection, pipeline failure tracking, and failure rate trend analysis across repositories.
- [Automations](https://deviera.dev/features/automations): 65+ automation templates, visual rule builder, and trigger → condition → action pipelines for GitHub, GitLab, and Vercel events.
- [Signal Feed](https://deviera.dev/features/signal-feed): Real-time stream of engineering events with severity classification, issue links, and time-saved tracking.
- [Value Dashboard](https://deviera.dev/features/value-dashboard): ROI measurement per automation rule — hours saved, issues auto-created, and team velocity trends.
- [Integrations](https://deviera.dev/features/integrations): Overview of all supported integrations: GitHub, GitLab, Linear, Jira, ClickUp, Vercel, Slack.
- [GitHub integration](https://deviera.dev/features/integrations/github): GitHub App and OAuth setup, webhook configuration, per-installation secrets.
- [GitLab integration](https://deviera.dev/features/integrations/gitlab): GitLab OAuth for cloud and self-hosted, pipeline and MR webhook events, issue creation.
- [Jira integration](https://deviera.dev/features/integrations/jira): Jira Cloud OAuth, project and issue type mapping, automatic ticket creation from GitHub friction signals.
- [ClickUp integration](https://deviera.dev/features/integrations/clickup): ClickUp OAuth, space and list mapping, task creation from GitHub and GitLab events.
- [Docs](https://deviera.dev/docs): Complete setup guides, automation reference, integration documentation, and API reference.
- [Pricing](https://deviera.dev/pricing): Free ($0), Pro ($29/month), and Team ($79/month) plans — 14-day free trial, no credit card required.
- [About](https://deviera.dev/about): Company mission, product timeline, and engineering philosophy.
- [Blog](https://deviera.dev/blog): Engineering intelligence articles on CI/CD, developer velocity, automation patterns, and DevOps metrics.
- [Changelog](https://deviera.dev/changelog): Product updates, new features, and release notes.
- [Security](https://deviera.dev/security): How Deviera handles OAuth tokens, webhook secrets, data isolation, and GDPR compliance.

## Blog posts

- [What is engineering friction — and why most teams can't measure it](https://deviera.dev/blog/what-is-engineering-friction): Definition and measurement of engineering friction — CI failures, stale PRs, flaky tests, deployment gaps — and how to quantify them as a composite metric.
- [How to detect flaky tests automatically with CI pattern analysis](https://deviera.dev/blog/how-to-detect-flaky-tests-automatically): How alternating pass/fail patterns in CI history identify flaky tests, and what automated detection looks like in practice.
- [5 GitHub → Linear automation patterns every engineering team should have](https://deviera.dev/blog/github-linear-automation-patterns): Five automation rules for CI failure triage, PR self-assignment, and deployment auto-resolution in Linear.
- [The stale PR problem: why code review bottlenecks compound silently](https://deviera.dev/blog/stale-pr-problem): Data-driven analysis of PR stagnation — context decay, merge conflict accumulation, and how to detect bottlenecks before they compound.
- [GitHub App vs OAuth: what's the difference and why it matters for automation](https://deviera.dev/blog/github-app-vs-oauth): Security and architecture differences between GitHub Apps (org-scoped, granular) and OAuth tokens (personal, fragile) for webhook-based automation.
- [PR review time benchmarks: what good looks like at 10, 50, and 500 engineers](https://deviera.dev/blog/pr-review-time-benchmarks): Industry benchmarks for PR review time at different team sizes, and what they reveal about review culture and code health.
- [TODO comments in production code: the silent technical debt accumulator](https://deviera.dev/blog/todo-comments-technical-debt): Why TODO/FIXME comments are untracked debt, how to quantify their accumulation, and how automated detection closes the loop.
- [What is engineering friction — and why most teams can't measure it](https://deviera.dev/blog/what-is-engineering-friction): How CI failures, stale PRs, and flaky tests compound into measurable velocity drag, and the composite metrics that surface them.
- [GitLab CI automation: turning pipeline failures into actionable tickets](https://deviera.dev/blog/gitlab-ci-automation): How to route GitLab pipeline failures to Linear, Jira, or ClickUp automatically — without manual triage.
- [Weekly engineering health reports: what to track, what to ignore](https://deviera.dev/blog/engineering-health-reports): The four metrics worth tracking weekly (CI failure rate, PR cycle time, deployment frequency, stale PR count) and why quarterly OKRs and real-time dashboards both fail.
- [The real cost of a broken main branch (and how to recover in under 10 minutes)](https://deviera.dev/blog/main-branch-ci-failure-cost): Why a red main branch is a team-wide blocker, how to calculate its cost per minute, and what a recovery playbook looks like.
- [GitHub → ClickUp automation: the patterns that save 3+ hours per week](https://deviera.dev/blog/github-clickup-automation): Four automation patterns for syncing GitHub events to ClickUp tasks — CI failures, bug labels, stale PRs, and deployment failures.
- [Scaling DevOps without headcount: automation as force multiplication](https://deviera.dev/blog/scaling-devops-without-headcount): How workflow automation — not just task automation — lets small DevOps teams scale observability without hiring.
- [The 4 engineering velocity metrics that actually predict shipping pace](https://deviera.dev/blog/engineering-velocity-metrics): Deployment frequency, PR cycle time, CI pass rate, and change failure rate — the four metrics drawn from real data that predict shipping pace.
- [CI/CD failure tracking: why your deploy errors need structured tickets](https://deviera.dev/blog/ci-cd-failure-tracking): Why untracked deploy failures repeat, how structured tickets enforce retrospectives, and what automated failure tracking looks like end-to-end.
- [How to reduce alert fatigue in engineering without losing signal](https://deviera.dev/blog/reduce-alert-fatigue-engineering): A three-layer filter (deduplication, severity routing, auto-resolution) for reducing notification volume while keeping response rates above 80%.
- [GitHub → Jira automation: stop losing bugs in the gap between tools](https://deviera.dev/blog/github-jira-automation): Automation patterns for routing GitHub CI failures, bug labels, and stale PRs to Jira tickets — and why naive webhook approaches break at scale.
- [How to justify your engineering tooling budget with ROI data](https://deviera.dev/blog/engineering-roi-tooling-budget): How to convert CI triage time, PR latency, and manual overhead into dollar figures that justify tooling investment to finance stakeholders.