Systems | Development | Analytics | API | Testing

Flamegraphs Find It. Replay Proves It.

I made an API endpoint 13 times faster. Then I realized my first verification only checked the status, headers, and response schema. I had not checked the totals. I had made the bug faster. That is the problem with giving an AI coding agent one kind of evidence. A CPU profile can show where the application is slow, but not whether an optimization preserves behavior. A traffic replay can prove that behavior stayed stable, but not explain why the code burns CPU.

API testing for agent-driven code: SmartBear ReadyAPI MCP for Claude, Copilot, Cursor, and compatible agents

Key takeaway: When code moves at AI speed and testing stays manual, the widening gap between a code change and its test coverage becomes your biggest quality risk. SmartBear ReadyAPI MCP reduces that gap by letting you generate, run, and heal API tests in plain language, right inside the Claude, Copilot, or Cursor session that wrote the code.

Shift Left Vs Shift Right Testing: Key Differences & Use Cases (2026)

Shift left vs shift right testing isn’t really a debate. Teams that treat it as one end up with gaps that neither approach covers alone. Shift left catches defects before they reach production. Shift right learns from what happens after they do. The teams shipping most reliably in 2026 don’t choose between them. They run both and build a feedback loop where each approach makes the other more effective.

How to run your first API contract test in five minutes | SmartBear Swagger Contract Testing drift

Learn how to create, configure, and verify your first API contract test with SmartBear Swagger Contract Testing drift. Teams know contract testing prevents breaking API changes, but most stall out before they start – citing “we don't have time, we don't have the right skills, or we don't have the resources.” SmartBear Swagger Contract Testing removes that onboarding friction with drift, a capability that automates schema validation so you can adopt Interface-Driven Development (IDD), making your API specification the primary artifact of your build process in minutes.

Stop Writing Log Lines: Use eBPF to Catch PII and Credentials

Tired of out-of-control log expenses and manual logging discipline? Discover next-generation observability with Speedscale. By using eBPF to record full-fidelity data right off the wire, you can instantly run full-text searches, track down leaking PII, and securely map out credentials across HTTP, Postgres, gRPC, and more—all without writing a single log line. Learn more: speedscale.com.

Duplicate API Tests Are Slowing You Down. Here's How Keploy Deduplicates them

Ever wondered why your test suite keeps growing even though you're testing the same few flows over and over? 👀 In this video, we break down how Keploy automatically detects and removes duplicate tests - so your suite stays fast, lean, and actually trustworthy to review.

eBPF: Preventing Garbage HTTP Payloads When Reading Kernel Scatter-Gather Buffers

Recently someone on our team opened a traffic snapshot and found an HTTP request that was captured with our eBPF capture agent, nettap. Our protocol dissector parsed most of the response correctly, but that correctness ended once the response headers were processed. What they ended up with was a recording of an HTTP request/response where the response body was just an incorrect collection of garbage binary data when it should have been JSON text.

How agentic QA cuts the test maintenance tax

Every QA budget has a line item for building test coverage, but 30–50% of that automation budget ends up spent on maintenance instead of new tests. That disparity stays invisible until a release goes out, the application shifts underneath the tests, and the QA team spends the next three days rewriting broken scripts instead of finding new bugs.