Latest Testing & QA news from Tech News
The Pitfalls of Automated Character Encoding Detection in Cross-System CSV Pipelines and Handling Malformed Byte Sequences 1. Architectural Overview…
Unmasking the Silent Failures of Distributed Transactions: Detecting In-Doubt States and Validating Compensations with Python In a microservices arc…
Debugging Silent Data Corruption: Timezone Conflicts Across Microservices and the Pitfall of In-App Self-Provisioning Handling timestamps across het…
Quick question: have you ever had an idea for a physical product and no clear idea how to get it made? If yes, you’re not alone. Software teams ship…
Most AI-generated strategies suffer from the same terminal flaw: they are forward-only. If you ask an LLM to propose a market entry plan or a scalin…
Last year, my team was fighting the "small file problem" in a standard S3 bucket. We were running massive Glue jobs that spent 40% of their executio…
Ninety-eight percent of production data pipeline incidents happen because developers tested their code against a "subset" of data that didn’t actual…
Why I chose this topic: I spent three days last quarter fixing a "simple" metadata sync that locked 200 production jobs out of their own tables beca…
Why OpenAI Safety Incidents Keep Happening (And How to Guardrail Your LLM Pipeline) Last quarter, my team woke up to an alert that our customer-faci…
Original post: Adding emoji reactions to your Astro blog with Netlify Blobs Comments ask a lot of a reader. Reactions ask almost nothing, a single c…
Linearb's 2026 Engineering Benchmarks Report analyzed 8.1+ million pull requests across 4,800+ organizations, and one finding cuts against most of w…
Open Source vs Proprietary LLMs: A Pragmatic Comparison for 2024 Introduction – Why the Open‑Source vs Proprietary Debate Matters Large Language Mod…
Episode 3 of the AI-Augmented Parallel SDLC series. The pillar article laid out the blueprint: discover once, run three workstreams in parallel, con…
The most dangerous failure in an LLM application is not a bad prompt. It is a perfect prompt wrapped around the wrong context. You can spend hours t…
For twenty five years, I have worked on the plumbing of technology. From dial up networks to satellite communications, and from enterprise cloud arc…
On September 4, Anthropic published something that sounds like a headline from a decade in the future: the first complete, computer-checked proof of…
Most AI agents don't fail the way they do in demos. They fail later, and quieter: a task runs at 2 AM, fails silently, nobody gets alerted, and you…
Your multi_agent pipeline works fine in testing. Then you deploy it and watch it fail: Agent A finishes its task and "passes" to Agent B. But B has…
Traditional Scrum optimizes for human cognitive load. Agentic development shatters this constraint. The two-week sprint, the Fibonacci estimation se…
Issue #008 — 2026-08-24 What changed in AI engineering, August 17 – 23, 2026. Curated for senior engineers going AI-native. Every item sourced. 1. A…
Vibe coding is fast, but it often skips the fundamentals: project structure, typing, testing, error handling, and review discipline. Matt Pocock's s…
Writing a clear incident postmortem is one of those tasks that always lands at the worst time — right after an outage, when you're exhausted and the…
Craft externalizes nothing and transfers by apprenticeship. Engineering writes the governing relation down where someone else can find it wrong. Fou…
It's coming up on a year since the models actually changed. Not incremental, a real shift in what AI can do for engineers. In that year the whole la…
The scariest moment I've had while talking design with an AI wasn't a code bug. It wasn't a prompt gone sideways. It was this: the AI (and honestly,…
I've never seen a project go so smoothly. Three developers, one fractional head of design, six weeks, virtually no production bugs. No heroics, no o…
Before reading this : I'd recommend skimming Part 3's "Parser" section and Part 4's summary to understand how the parser outputs a domain.Contract .…
I'm building an app with Claude Code right now. The setup is a little unusual. One "commander" session writes the instructions, and separate "worker…
A message landed in my inbox a few months back. New scope, same title. Frontend, backend, and QA, folded into one role, because the team now had AI…
The Core Argument : AI agent reliability isn't achieved by "making the agent smarter" — it's achieved by the simple engineering principle of separat…