How to Reduce Flaky Tests in CI/CD
Flaky tests erode trust in the pipeline one rerun at a time. Learn why tests flake, how to tell a flaky test from a real regression, and how to fix the root cause instead of just hitting rerun.
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Modern Software Development For Today's Systems & Applications
The latest News and Information on Software Testing and related technologies.
Katalon Product Roundup July 2026
July was an enterprise month. Most of what shipped answers the questions that come up once a test team grows past a handful of people: how do we hand documentation to an auditor, where is the evidence for this step, who changed this result and when, and how do we run the same suite against a feature branch without rebuilding the integration every time.
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 Cut Your AI Agent Costs in Half
Every AI agent starts every session with zero memory. No context, no history, just a blank slate that has to rediscover its environment from scratch, and that costs you real time and money. In this episode of Inside the Stack, Jase Lindgren, Principal P4 User Advocate at Perforce, shows a simple fix: instead of re-prompting your agent every time, capture what it learns in a markdown file, then go one step further and turn that into a custom script. The result, tested across 15 runs: lower cost, faster execution, and better accuracy at catching real issues.
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.
Fighting AI Slop: The Missing Ingredient for Clean Code #coding #AI #devops #cleancode #aiagents
Fighting AI Slop: The Missing Ingredient for Clean Code.
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.
How Enterprise Teams Are Automating AI Compliance at Scale | Perforce 2026
AI has changed how fast software ships. It hasn't changed how compliance gets done, until now. In this session, Perforce CTOs Anjali Arora and Rod Cope are joined by Nico Kruger, Senior Director of Global Sales Engineering, to break down why traditional compliance can't keep pace with AI-native development, and what replaces it. Topics covered: This is the fourth and final session in the "When AI Starts Shipping Code" webinar series, exploring how AI is reshaping software delivery from development through governance, testing, and now compliance.