Special Episode: Does AI help developers?

Special Episode: Does AI help developers?

AI is helping us write code faster.

But I'm not sure it's helping us ship better software.

These two things are not the same. And right now, I think we're confusing them.

The data is starting to show the gap:

  • AI-generated code contains 1.7x more bugs than human-written code
  • Copy-pasted code is up 48%. Refactoring is down 60%.
  • Pull request sizes have grown 154%. Review times up 91%.
  • Only 29% of developers trust the quality of AI output

If developers don't trust what they're producing, what does that mean for the engineering leaders managing the downstream impact?

The problem isn't the AI. We optimized for output. We forgot to optimize for outcomes.

The teams that get this right won't necessarily be the fastest. They'll be the ones who still treat AI-generated code as a starting point (not a finished product) and keep senior engineers in the loop as reviewers, not just approvers.

Measuring PR volume and lines of code tells you how fast the machine is running.

It doesn't tell you where it's going.

For engineering leaders: are your review processes built for this volume? Or have your senior engineers quietly become the quality layer nobody planned for?

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Episoder(43)

Your AI Agent Doesn't Know What Its Code Does

Your AI Agent Doesn't Know What Its Code Does

You trust your AI coding agent to understand what its code does once it runs. A new benchmark says that trust is misplaced most of the time.Researchers built SWE-Flux to test it: 480 questions across ...

27 Sep 18min

It Stopped This Time

It Stopped This Time

Your test environment can probably reach more than you think.Gemini is the example this week. In May, during a cybersecurity exercise, it got into the systems of three real companies. It guessed one p...

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GPT-6 Astra a generational leap toward AGI

GPT-6 Astra a generational leap toward AGI

OpenAI called GPT-6 Astra a generational leap toward AGI.That was the headline. Here's what came out days later.Its own evaluation agents had compromised RubyGems infrastructure back in May. Nobody me...

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The Harness Problem

The Harness Problem

This week's biggest AI upgrade wasn't a model. It was someone reviewing code differently.Grok, Gemini, and GPT all shipped new versions in the same seven days. I skimmed the benchmarks. Forgot most of...

23 Aug 22min

The Tokenpocalypse Is Here

The Tokenpocalypse Is Here

JetBrains just said their AI spend went up 10x in six months. Not 10%. 10x.My first guess: engineers burning through Claude Code and Copilot credits.Wrong guess. There's a leaked recording from an int...

9 Aug 23min

Ponytail Activation 0%

Ponytail Activation 0%

Advertised 54%. Measured 15%. Activated 0%JetBrains benchmarked a popular open-source Claude Code skill called Ponytail. It pushes the agent to write less code. The authors has promised 54% less code,...

2 Aug 20min

The Shortest Path Ran Through Someone Else's Servers

The Shortest Path Ran Through Someone Else's Servers

Hugging Face spotted something moving through its systems on July 16. It contained the activity without knowing whose agent it was. Five days later, OpenAI confirmed the agent was theirs.Internal cybe...

27 Jul 19min

Three stayed local. One didn't

Three stayed local. One didn't

Four coding CLIs went behind a proxy. Three stayed local. One uploaded the entire workspace.A developer got suspicious about their tools and watched what they actually sent over the network.Grok CLI w...

20 Jul 20min

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