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Addy Osmani warns AI coding can turn into cognitive surrender

Addy Osmani warns AI coding can turn into cognitive surrender

In a new X thread, Addy Osmani explores when AI “cognitive offloading” crosses into “cognitive surrender,” fueling comprehension debt and shaky decisions. He also shares practical guardrails for staying in control. Source: [https://x.com/addyosmani/status/2052124873208799378](https://x.com/addyosma…
New benchmark on AI models code review value

New benchmark on AI models code review value

Factory Research tested 13 AI models on 50 real pull requests to compare accuracy and cost. GPT-5.2 and Claude Opus 4.6 lead on quality, but pricing shifts the value story—especially for Kimi K2.5 and other budget picks.
Zig’s AI ban and the ‘contributor poker’ strategy explained

Zig’s AI ban and the ‘contributor poker’ strategy explained

In a new post, Loris Cro argues Zig’s maintainer model is less about perfect first PRs and more about betting on long-term contributors. He also explains why that trust-driven workflow helped push Zig to ban AI-generated patches—for now.
Drupal’s strict APIs may be the real AI advantage

Drupal’s strict APIs may be the real AI advantage

In a new post, Drupal founder Dries Buytaert argues AI agents struggle more with ambiguity than complexity—and that stricter APIs beat “magic strings” for debugging. He explains how Drupal’s move toward explicit contracts is paying off now.
Tim Kellogg breaks down agent memory: files, blocks, skills

Tim Kellogg breaks down agent memory: files, blocks, skills

A new post from Tim Kellogg maps three practical patterns for giving AI agents mutable memory—files, memory blocks, and skills—and explains when “memory” is the wrong tool entirely. It also shares tactics for keeping agent workflows observable and manageable.
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