7 posts tagged with "CI/CD"

A CTO told me last month, very pleased with himself:

"We're already paying $200/month per dev for Claude. Testing is basically free now — we just ask Claude to also write the tests."

I asked him to pull up his Anthropic bill. The number was 14x what he'd budgeted at the start of the quarter. And his team still hadn't shipped the regression suite.

This is the most expensive trap in the AI tooling stack right now, and it's expensive precisely because it looks free. If you've already bought a coding agent, asking it to do double duty as a testing agent feels like the obvious move. One subscription, one workflow, one bill.

Except there is no "one bill." There are six.

Last week, on a customer call, a CTO asked me the question I now get every single week:

"I'm already using Claude to write my code. Why can't I just point the same agent at the code and have it test itself?"

It's a fair question. If one AI can write a React component, surely it can write the test for that component too. The economics look seductive — one tool, one workflow, one bill.

But here's an insight:

Testing your own PR is like proofreading your own essay. You'll read it 10 times. You'll miss the same typo 10 times. Because your brain autocorrects what it wrote.

That insight is what this blog is about. And it explains why a coding agent, no matter how capable, is structurally the wrong tool to verify its own work.

Every engineering team knows the tension. You ship fast, but testing can't keep up. Regression suites grow exponentially. Manual QA becomes a bottleneck. And somewhere between the PR and production, confidence starts to erode.

That's the problem we built O2 to solve. And today, we're making it even easier to adopt -

O2 is now available as a GitHub Action on the GitHub Marketplace.

If you have been paying attention to Anthropic's tooling ecosystem over the last 12 months, Claude's web testing capabilities are genuinely exciting. The Computer Use API, the Claude in Chrome extension, and Claude Code's browser integration represent a real shift in what an AI model can do inside a browser - and the instinct to build a testing layer on top of it is completely rational.

In today's fast-paced software development landscape, speed and quality are non-negotiable. Moreover, According to the "State of DevOps Report 2024". This demonstrates the growing importance of Continuous Integration (CI) and Continuous Delivery (CD) tools in modern software engineering.

💡 "CI/CD tools turn deployments from high-risk events into routine, reliable operations — enabling teams to ship faster, safer, and with confidence."

In this blog, we will explore what CI/CD tools are, why they are essential for Agile teams, and the key advantages they offer. We’ll also see how DevAssure, an end-to-end test automation platform, seamlessly integrates with popular CI/CD tools to empower QA and DevOps teams.