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Day: October 22, 2026

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Posted inBlog

Benchmarks Don’t Run Your Code: A Hands-On Model Comparison Across Six Scenarios

For a long time, the standard advice when choosing a language model was: check the leaderboard, pick the top performer, ship. That advice has aged poorly. As the model ecosystem…
Posted by Giuseppe Basile October 22, 2026
Posted inBlog

The Communication Gap: The Skill That Actually Scales With AI Agents

For a while, the conversation around getting better results from AI agents centered on two things: choosing the right model and writing cleverer prompts. Both still matter, but practitioners who…
Posted by Giuseppe Basile October 22, 2026
Posted inBlog

A Bank Built Its Own Coding Agent. Here Is What Actually Made It Work.

For most engineering teams, the question about AI coding agents has shifted from "should we try this?" to "why isn't ours working yet?" The gap between a promising demo and…
Posted by Giuseppe Basile October 22, 2026
Posted inBlog

The Flywheel That Keeps Remaking the Agent Harness

A couple of years ago, the interesting question in agent tooling was whether a dedicated harness could squeeze meaningfully better coding results from the same model. The answer, at the…
Posted by Giuseppe Basile October 22, 2026
Posted inBlog

How an AI Agent Earns the Right to Work Unsupervised

For most of the history of enterprise automation, "should a machine do this?" was essentially a binary choice — automate it or don't. What's changed in the last couple of…
Posted by Giuseppe Basile October 22, 2026
Posted inIdeas for AI

AI Makes Us WAY Faster but Fries Our Focus (Here’s What I Do About It)

Idea #1We are stuck in a structurally worst-of-both-worlds moment with AI agents — call it the 'awkward in-between' — and understanding it as a phase (not a permanent condition) changes…
Posted by Giuseppe Basile October 22, 2026

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