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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

From Writing Code to Engineering Intent: What Software Skills Still Hold Up

The question of whether to learn software engineering has always carried a certain anxiety — every wave of new tooling prompts it. Compilers, IDEs, Stack Overflow, low-code platforms: each one…
Posted by Giuseppe Basile October 14, 2026
Posted inBlog

Why AI Coding Agents Need a Memory Pipeline

There is a quiet inefficiency at the heart of how most teams use AI coding agents today. Each session starts fresh. The agent works through a problem, the human corrects…
Posted by Giuseppe Basile October 13, 2026
Posted inBlog

From Monolith to Modular: Why Agent Systems Are Separating Thinking from Execution

The first generation of AI agents was held together by a kind of duct tape: one container, one process, one blob of state that was simultaneously the reasoning engine, the…
Posted by Giuseppe Basile October 13, 2026
Posted inBlog

Map-Reduce, Self-Supervision, and Shared Memory: Patterns in Multi-Agent Research Systems

A few years ago, the interesting question in AI-assisted research was whether a language model could reliably summarize a document. That bar has moved considerably. The question now is how…
Posted by Giuseppe Basile October 13, 2026
Posted inBlog

What Google’s $10 Million Email Bid Gets Wrong About Where Work Value Lives

When Google bid $10 million at the August 2026 Spirit Airlines bankruptcy auction — paying for a bankrupt carrier's internal emails, Teams messages, and spreadsheets — it was pricing something…
Posted by Giuseppe Basile October 12, 2026
Posted inBlog

Executive Briefing: Which Limits in Your 2027 Plan Are Real, and Which Are From the Last Time You Tried?

Planning cycles have a funny relationship with reality. Every year, teams sit down to map what is possible, what is out of reach, and what requires external help — and…
Posted by Giuseppe Basile October 9, 2026
Posted inBlog

Bigger Context Windows Won’t Save Your Agent — Context Engineering Will

For a while, the standard response to a flaky or forgetful AI agent was simple: give it more context. Longer windows meant the agent could hold more history, more tool…
Posted by Giuseppe Basile October 8, 2026
Posted inBlog

Why AI Agents Still Cannot Talk to Each Other

For a while, the prevailing assumption was that multi-agent AI was mainly an orchestration problem — wire the right prompts together, pick a good framework, and the agents would cooperate.…
Posted by Giuseppe Basile October 8, 2026
Posted inBlog

From 36% to 100%: How Self-Improving Agents Write Their Own Skills

For most of the short history of AI agents, the assumption has been that smarter models mean better outcomes. That is true, but it is also rented progress — when…
Posted by Giuseppe Basile October 8, 2026
Posted inBlog

Harness Engineering: Building the System That Writes Your Software

For most of the history of software development, "the developer" and "the doer" were the same person. Engineers wrote code, ran tests, debugged failures, and shipped features. The cycle was…
Posted by Giuseppe Basile October 8, 2026

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