Top AI Trends From 100 Interviews | AI Briefings: nWave

2026-04-22 · Source: Modern Software Engineering · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning · Depth: Intermediate, long

Summary

The "AI Briefings" series introduces Nwave, an open-source AI development system built on Anthropic's Claude, designed to assist software development by focusing on principles and fundamentals. Nwave aims to guide developers through the entire lifecycle, emphasizing "behavioral engineering"—the critical human role of understanding and defining problems in verifiable detail, rather than just coding. The system also highlights the importance of human engineering taste, architectural context, and iterative development for complex, high-consequence systems, contrasting with AI's tendency to generate simple, naive code. Nwave employs an agent-based architecture, featuring 23 agents with over 90 skills, each with a defined personality and single responsibility, to facilitate small, disciplined steps and reduce hallucination probability. Its philosophy promotes continuous human-machine interaction and supports practices like hexagonal architecture and test-driven development.

Key takeaway

For AI Engineers and Architects integrating AI into development, your role shifts from direct coding to "behavioral engineering"—meticulously defining problems and providing broad architectural context. You must guide AI through small, iterative steps, leveraging your engineering taste to steer solutions for complex, high-consequence systems. This approach maximizes AI's efficiency in implementation while ensuring human oversight on critical design and problem-solving, preventing naive or incorrect solutions.

Key insights

AI redefines software development, emphasizing human problem definition and iterative, context-driven guidance over mere code generation, as exemplified by Nwave.

Principles

• Software development is fundamentally a problem discovery process.
• Behavioral engineering defines problems in verifiable detail.
• Small, iterative steps are crucial for AI-assisted work.

Method

Nwave employs an agent-based architecture with defined personas and single responsibilities to guide iterative, specification-driven development. It orchestrates small steps, reducing hallucination and supporting practices like TDD and hexagonal architecture through continuous human-machine interaction.

In practice

• Focus human effort on problem definition, not just coding.
• Guide AI with broad context and engineering taste.
• Implement small, iterative development cycles.

Topics

• AI Software Development
• Nwave System
• Behavioral Engineering
• Agent-based Architecture
• Iterative Development
• Software Architecture
• Anthropic Claude

Best for: Software Engineer, AI Engineer, AI Architect

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Editorial summary, takeaway, and curation by AIssential. Original article published by Modern Software Engineering.