Automation Insights

Stay ahead in the automation game. | 2026-09-20

THE BIG ONE

This week, a compelling article from The New Stack highlights a pressing issue in the tech industry: code review burnout. Many teams are grappling with the reality that their best engineers are overwhelmed by the volume of pull requests (PRs) that demand their attention. This not only affects morale but also productivity. By automating parts of the code review process, teams can free up valuable time for their top talent to focus on innovation rather than repetitive tasks. If you’re managing a development team, consider integrating tools like GitHub Actions to automate code quality checks, which can help reduce the burden on your engineers and improve overall workflow.

QUICK HITS

1. One engineer shipped 2,000 PRs a month to production. Lauren Tan from SpaceXAI shares insights on how effective verification processes can dramatically increase deployment efficiency. This is a reminder that implementing robust checks can save time while maintaining quality. Read more.
Why it matters: Streamlining verification could allow your team to deploy more frequently without sacrificing quality.

2. “Dormant deployments were quietly consuming storage.” Vercel has adjusted its free-tier rules to clear out older deployments, a move that reflects the need for resource management. Learn more.
Why it matters: Keeping your storage clean can save costs and improve performance.

3. Developers are addicted to AI, and managers are making it worse. A recent study revealed the growing dependence on AI tools among developers, with management often rewarding this behavior. Find out more.
Why it matters: Understanding this trend is key to fostering a healthy balance in tech teams.

4. Code Review is Burning Out Your Best Engineers. The repetitive nature of code reviews is leading to burnout among developers. Check it out.
Why it matters: Automating code reviews can save time and reduce stress for your best talent.

5. A free GitHub Action flags AI slop pull requests. This tool can help teams catch poorly written AI-generated code before it hits the review stage. Explore it here.
Why it matters: Proactively addressing code quality can enhance your team's efficiency and output.

ONE THING TO TRY

Consider implementing a free GitHub Action that flags low-quality pull requests before they reach your review process. This can save your team hours of review time each week, allowing them to focus on more critical development tasks.

SIGN-OFF

That’s it for this week! Let me know your thoughts on these automation strategies or share your own experiences in the world of automation. I’d love to hear from you!

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