Gemini 4 Argon vs. Claude Opus 5.5: Half the price and about half as accurate
When Google announced Gemini 4 Argon to a small group of testers on September 30, it came with a benchmark The post Gemini 4 Argon vs. Claude Opus 5…
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Here are the engineering lessons we learned when live-streaming sports to 32 million people
Live sports involve myriad unknowns, but one thing is certain: the live video feed must play flawlessly, and simultaneously, for The post Here are t…
Only 34% trust synthetic data’s referential integrity — and it’s holding adoption back
While enterprise leaders overwhelmingly believe in the promise of synthetic data, adoption lags. As a result, synthetic data has great, The post Onl…
Elon Musk’s Grok Bot will pick Claude over Grok when it’s better. One-model loyalty is dead.
I’m Matt Burns, Chief Content Officer at Insight Media Group. Each week, I round up the most important AI developments, The post Elon Musk’s Grok Bo…
GPT-6.1 Sol vs. GPT-6 Astra: Same accuracy at 18% of the cost
OpenAI launched GPT-6.1 Sol on September 29, just a week after it launched GPT-6 Sol. OpenAI marketed 6.1 as an The post GPT-6.1 Sol vs. GPT-6 Astra…
Copilot tops GitHub’s own AI code review benchmark. An independent one tells a different story.
If there’s one thing the AI software engineering world doesn’t lack, it’s benchmarks. Want to know whether an agent can The post C…
Agents have made CI the bottleneck. Faster pipelines are the wrong fix.
Three posts landed in September that I think engineering leaders should read together. Anthropic’s engineering team wrote that their continuou…
Claude Opus 5.5 vs. Fable 5.1: One overthinks, the other cuts corners
Anthropic released Claude Opus 5.5 on September 22, saying it performs at the level of Claude Fable 5.1 on most The post Claude Opus 5.5 vs. Fable 5…
One engineer shipped 2,000 PRs a month to production. Verification is the key.
Lauren Tan, an engineer on the Grok team at SpaceXAI, who previously worked at Cursor and Meta, recently published a The post One engineer shipped 2…
AI’s best coding agent fails 60% of the time — and the data backs it up
Claude Fable 5.1 just won a new coding benchmark despite failing more than six out of 10 times. Its 38.8% The post AI’s best coding agent fail…
“Valuable warning shots”: How Anthropic now views Claude’s cyber incidents
This week, Anthropic acknowledged that the three cyber incidents it disclosed this summer weren’t just the result of a misconfigured The post…
AI broke code review. Two experts disagree on what replaces it.
Ask two experienced engineers about how to handle the flood of AI-generated code in their review queues, and you’ll get The post AI broke code…
AI agent evaluations are part of the product
A team builds an agent, gives it a few representative questions in a test chat, and watches it produce useful The post AI agent evaluations are part…
It cost $33 to build a virtual Union Square. Here’s what the agents got wrong.
PhiloLabs wanted to see how far a group of AI coding agents could get building something where working code wasn’t The post It cost $33 to bui…
Vercel built a feedback loop that treats agent instructions like software
Vercel ran more than 200 agent runs to build design.md, a new public prompt file designed to help agents create The post Vercel built a feedback loo…
DeepSeek’s first vision model vs. Gemini 3.7 Flash: It comes down to spend vs. speed
DeepSeek released V4 Flash Vision Exp on August 21, its first model that accepts image input. Image input means a The post DeepSeek’s first vi…
Commits on GitHub have doubled in four months. Verification capacity has not.
I have been waiting for agent-generated code to show up in public infrastructure data rather than in vendor benchmarks. In The post Commits on GitHu…
How to Make Testing More Sustainable
By using a sustainable testing strategy, you can skip unnecessary tests, ensure failing fast and early, and only run tests affected by code changes.…
Most coding agent benchmarks skip large-scale refactoring. Not this one.
AI coding agents still struggle with large-scale refactoring, with the best model achieving only a 41.2% resolve rate on a The post Most coding agen…
Coding agents can be evaluated. We just have to evaluate the work.
I recently argued with a software factory provider, whose position was that coding agents cannot be evaluated. Their reasoning was The post Coding a…
“The beast needs a cage”: Why PortSwigger’s agentic pentesting is kept safe behind bars
As agentic services diversify across the entire enterprise technology stack, the rise of agentic coding tools is being challenged by The post “…
Shipping code without human verification
Agents are writing code faster than humans can review it. The answer is not “review faster”; that would be like The post Shipping code without human…
How routing keys isolate Kafka consumer tests on a shared broker
A change to a service that consumes from Kafka is not validated until it has run against the real system: The post How routing keys isolate Kafka co…
Test data wait times are slowing AI adoption more than code ever did
We removed friction from code delivery and exposed a bigger one: test data delays. For years, the software delivery conversation The post Test data…
The code review bug hunt is dead. Here’s what developers get wrong.
The software code review process is a systematic, peer-driven quality assurance procedure that scrutinizes code when a developer submits a The post…
Greptile, Cursor, and Devin agree that agents should run their code. What they run it against matters.
The industry has recognized that shipping agent code at scale requires runtime verification, and it is moving that way fast. The post Greptile, Curs…
Black Box vs White Box Testing: How to Choose the Right Approach
Black Box vs White Box Testing: Differences, Examples, when to use each, and how AI-powered quality engineering helps reduce risk and release faster…
21 QA Metrics Every High-Performing Software Team Should Track
Explore 21 essential QA metrics to improve software quality, reduce defect leakage, strengthen test coverage, and guide better release decisions. Th…
CI wasn’t built for coding agents. Here’s what comes next.
For years, integration tests have lived inside CI pipelines, triggered on push and answered ten, twenty, or thirty minutes later. The post CI wasn&#…
Podcast: Context is the Key to the Agentic Architecture Revolution: A Conversation with Baruch Sadogursky
Michael Stiefel spoke to Baruch Sadogursky about software architecture in the age of agentic AI. LLM can function, albeit stochastically, as reasoni…