From the team
Blog
Engineering intelligence, developer velocity, and automation patterns.
What is engineering friction — and why most teams can't measure it
CI failures, stale PRs, flaky tests, deployment gaps. These aren't just annoyances — they're measurable drains on engineering velocity. Here's how to quantify them.
How to detect flaky tests automatically with CI pattern analysis
A flaky test is one that passes and fails for the same code. The classic signal is an alternating pass/fail pattern in your CI history. Here's how Deviera detects it — and what to do when it does.
5 GitHub → Linear automation patterns every engineering team should have
CI failures that create their own Linear issue. PRs that assign themselves. Deployments that auto-close the incident. These five patterns save the average team over an hour per week.
The stale PR problem: why code review bottlenecks compound silently
A PR that sits for 3 days costs far more than 3 days. Context decays, merge conflicts accumulate, and velocity stalls. Here's a data-driven look at PR stagnation — and how to catch it before it compounds.
GitHub App vs OAuth: what's the difference and why it matters for automation
OAuth tokens are personal, per-user, and fragile. GitHub Apps are organisation-scoped, granular, and revokable. If you're building on GitHub webhooks, here's why the distinction matters.