AI: The illusion of productivity - The coordination overhead problem
Running multiple AI agents in parallel multiplies cognitive load before it multiplies output. What is the real cost of multi-agent AI? Read the article.
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Running multiple AI agents in parallel multiplies cognitive load before it multiplies output. What is the real cost of multi-agent AI? Read the article.
An estimate reduces the risk of a decision. Here's how we place it inside a broader information stack, from bias to planning poker. Read the article.
Reviewing AI-generated code demands more focus than writing it, yet chat-based AI interaction disrupts the flow state developers need. Read the article.
The Nephila team is experimenting with agentic coding. We're sharing some insights that emerged, which touch on a central issue in the current debate around AI and developer productivity. Read the article.
During one of Nephila's company retreats, Alfredo Morresi, Developer Relations at Google, led a full day of team building based on applied improvisation. In this interview he explains how applied improv helps teams grow. Read the article.
Vibe coding or software engineering? AI is redefining value in software projects: here's what we're learning at Nephila. Read the article.
Developers tried to jailbreak our AI Debug Challenge. Here's every attack, the layer that stopped it, and why engineering beat the model. Read the article.
We built a game for PyCon Italia 2026: thirty AI-generated Python snippets, three levels of bugs to catch. The AI writing broken code was easy. Read how we engineered everything around it.
Every year, PyCon Italia is a chance to learn, contribute, and connect with the Python community. In this article, we share the four trends that sparked the most discussion within the Nephila team.
Juliana, backend developer, attended DjangoCon Europe 2026 in Athens as a volunteer for the first time. She wrote about it on our blog. Read her story.