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*** Top Articles and Research
The AI Engineer’s Job Has Changed: Building the Loop, Not Just the Feature
October 27, 2026
The Engineer as Bottleneck: Why Autonomous Agent Loops Are the Next Frontier
October 27, 2026
The Shared Environment: The Quiet Architecture Shift Behind Multi-Agent Pipelines
October 27, 2026
The IDE Is Not the Factory: Building an AI Development Loop That Ships
October 27, 2026
ELITE Agentic Engineers Are LEAVING THE LOOP… Here’s why
October 26, 2026
When the Bottleneck Is Not the Code: AI War Rooms for Legacy Modernization
October 26, 2026
When the AI Toolkit Becomes the Attack Vector: Lessons from the LiteLLM Incident
October 25, 2026
Executive Briefing: 10 Hours Saved by AI Don’t Become 10 Useful Hours on Their Own
October 23, 2026
Benchmarks Don’t Run Your Code: A Hands-On Model Comparison Across Six Scenarios
October 22, 2026
The Communication Gap: The Skill That Actually Scales With AI Agents
October 22, 2026
A Bank Built Its Own Coding Agent. Here Is What Actually Made It Work.
October 22, 2026
The Flywheel That Keeps Remaking the Agent Harness
October 22, 2026
How an AI Agent Earns the Right to Work Unsupervised
October 22, 2026
AI Makes Us WAY Faster but Fries Our Focus (Here’s What I Do About It)
October 22, 2026
Your Mac Mini Has a Roommate Now — and It Needs More Than 16 GB
October 21, 2026
Let Your AI Agent Do ITS OWN Harness Engineering (Here’s How)
October 21, 2026
The Harness Matters More Than the Model
October 19, 2026
When One Agent Is Not Enough: The Case for Multi-Agent Architectures
October 19, 2026
What It Takes to Know If Your AI Agent Actually Works
October 19, 2026
When Uptime Metrics Miss the Point: Evaluating AI Agents in High-Stakes Contexts
October 19, 2026
Posted inBlog

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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