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The AI Engineer’s Job Has Changed: Building the Loop, Not Just the Feature

For a while, the mental model of an AI engineer looked like a slightly upgraded software engineer: you'd call an API, wire a prompt into the product, maybe fine-tune a…
Posted by Giuseppe Basile October 27, 2026
Posted inBlog

The Engineer as Bottleneck: Why Autonomous Agent Loops Are the Next Frontier

For most of the past two years, the default picture of "working with an AI agent" has been the same: open a terminal or chat window, type a prompt, watch…
Posted by Giuseppe Basile October 27, 2026
Posted inBlog

The Shared Environment: The Quiet Architecture Shift Behind Multi-Agent Pipelines

When agents stopped being solo acts For most of 2024 and into 2025, the standard pattern for an AI coding agent was one model, one session, one task. Run it…
Posted by Giuseppe Basile October 27, 2026
Posted inBlog

The IDE Is Not the Factory: Building an AI Development Loop That Ships

For the last few years, "AI-assisted development" has largely meant one thing: a smarter autocomplete inside someone's IDE. Claude Code on a laptop, a code review bot at the PR…
Posted by Giuseppe Basile October 27, 2026
Posted inBlog

When the Bottleneck Is Not the Code: AI War Rooms for Legacy Modernization

There was a time when legacy code modernization meant multi-quarter roadmaps, repeated context-building sessions, and decision loops that stretched for months. The code changes themselves were a fraction of the…
Posted by Giuseppe Basile October 26, 2026
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

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Recent Posts

  • The AI Engineer’s Job Has Changed: Building the Loop, Not Just the Feature
  • The Engineer as Bottleneck: Why Autonomous Agent Loops Are the Next Frontier
  • The Shared Environment: The Quiet Architecture Shift Behind Multi-Agent Pipelines
  • 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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