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The latest News and Information on Continuous Integration and Development, and related technologies.

CI Pipeline Optimization Guide for Platform Engineering Leaders | Harness Blog

Mar 19, 2026 By Chinmay Gaikwad In Harness

Definition: CI pipeline optimization is the practice of reducing build and test time and the cost per build by running only what matters, reusing unchanged components, and enforcing standardized governance. Platform teams are wasting thousands of hours every year because their pipelines aren't working right. Developers wait 45 minutes for builds. Jenkins consumes 20% of your team's capacity on maintenance.

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What are test hooks in AI-native development?

Mar 18, 2026 By Jacob Schmitt In CircleCI

Summary: A test hook connects a test or lint command to an event in your AI coding agent’s workflow. When the event fires, the agent runs the command automatically. If it fails, the agent’s action is blocked. You can wire your existing test commands into your agent’s lifecycle hooks to get deterministic local validation before code ever reaches CI. AI coding agents write code at a pace where stopping to manually run tests breaks your flow.

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Every engineer should have an opinion on AI

Mar 17, 2026 By CircleCI In CircleCI

Leaders should give engineers the space to experiment with AI tools so they can form real opinions about what works and what doesn’t.

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Great engineering cultures do this

Mar 17, 2026 By CircleCI In CircleCI

Treating problems as systems issues instead of people problems changes everything.

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How to Evaluate a Mobile App Testing Platform

Mar 17, 2026 By OpsMatters In OpsMatters

Selecting a mobile app testing platform is a strategic engineering decision. It affects release velocity, defect escape rates, infrastructure costs, and long-term product stability. As mobile ecosystems become more diverse, platform evaluation must move beyond feature comparisons and focus on operational alignment. Mobile environments today include wide variations in device hardware, operating system versions, accessibility configurations, and browser implementations. A testing platform must reflect this complexity if it is to reduce production risk effectively.

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