Blog

June 9, 2026

The AI velocity paradox: Why faster code made testing harder

The AI velocity paradox: Why faster code made testing harder

Quality enablement is the new developer experience

The Continuous Quality Agent is here. Watch it work.

CI/CD has a third stage.

API testing with AI isn't just Claude's job

The one thing AI makes harder

The real cost of QA testing tools (it's not the license fee)

Your coding agent can't test what it doesn't know

Your team is shipping more code than ever. Do you trust it?

Results as a service: Why outcomes drive everything we build

Auto-recovery vs. auto-healing: Why the difference matters more than you think

What autonomous software engineering actually requires

The prompt-test-prompt loop is killing your day

Why the AI productivity promise doesn't add up

Continuous Quality: Building a world model for software

47% better: What happened when we stopped teaching our agent our stack

Repo Mirror: Ending the drift between code and UI

The problem with web agent benchmarks (and why we need better ones)

Flaky tests: why they happen and how to cut failures fast

The true cost of maintaining a test suite

No code test automation

New in Checksum: Faster quality signals across CI/CD

Does output format actually matter? An experiment comparing JSON, XML, and Markdown for LLM tasks.

Flaky tests are costing you more than you think: Here’s how to fix It

Your Gen AI app is growing. Your test coverage Isn’t.

Three stages of technology transformation

Why we built a system of AI agents to automate E2E testing

Autonomous SDLC: A test product perspective with modern software

Checksum AI and Google Cloud: End-to-end testing AI innovation