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You Bought the Agent to Get Time Back. Here Is Why Your Calendar Filled Up Instead.

When the first wave of AI assistants arrived, the mental model was straightforward: delegate a task, get time back. Agents were supposed to be the escalation of that promise —…
Posted by Giuseppe Basile August 23, 2026
Posted inBlog

When Code Generation Became the Easy Part

A couple of years ago, the conversation in AI-assisted engineering centered on a simple question: can the model write code that actually works? Hallucinations, wrong APIs, logic errors — the…
Posted by Giuseppe Basile August 22, 2026
Posted inBlog

Cost Per Accepted Result To Comparing AI Models

In the early stages of the agentic-AI era, is easy to assume that the most important aspect  about a model is: how good is it? The answer still shapes decisions:…
Posted by Giuseppe Basile August 22, 2026
Posted inBlog

From RL to IRL: What Breaks When AI Agents Leave the Sandbox

For a while, the benchmark results told a reassuring story. Reinforcement learning — RL, the technique where a model learns by trying things and getting scored on the outcomes —…
Posted by Giuseppe Basile August 19, 2026
Posted inBlog

The Harness Is the Bottleneck: How Agentic Infrastructure Is Finally Growing Up

For the first couple of years of the agentic era, building a capable AI agent meant building almost everything yourself. The model gave you tokens in and tokens out; the…
Posted by Giuseppe Basile August 12, 2026
Posted inNews

What Codex’s Harness Reveals About Building Agents That Actually Work

Building an agent that works in a demo is one thing. Building one that runs reliably for hours, handles ambiguous permissions, searches a hundred tools without choking on context, and…
Posted by Giuseppe Basile August 12, 2026
Posted inBlog

When the Agent Says It’s Done and It Isn’t: Three Checks Worth Running

For most of the short history of agentic AI, the working assumption has been that the main failure mode is an obvious one: the agent crashes, returns an error, or…
Posted by Giuseppe Basile August 9, 2026
Posted inBlog

Designing Languages for Agents, Not Humans

For decades, source code has been a text file — a sequence of characters that humans write, compilers parse, and version control tracks line by line. That arrangement made sense…
Posted by Giuseppe Basile August 5, 2026
Posted inBlog

What I Learned Building a Tool That Cut My AI Token Use by 90 Percent

For a long time, the AI token bill was understood as a function of what got typed. Long prompts cost more; short ones cost less. That turned out to be…
Posted by Giuseppe Basile July 30, 2026
Posted inBlog

You Can Build 80% of Your Own AI Memory by Talking to the Agent Already on Your Computer

For a long time, the main complaint about AI assistants was that they were not capable enough. They hallucinated, they forgot the thread, they could not take a meaningful action…
Posted by Giuseppe Basile May 3, 2026

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Recent Posts

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  • The IDE Is Not the Factory: Building an AI Development Loop That Ships
  • ELITE Agentic Engineers Are LEAVING THE LOOP… Here’s why

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