Coding Agents: AI Driven Dev Conference

2026-03-04 · Source: MLOps.community · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, quick

Summary

An event focused on "Agentic Engineering" and AI-assisted code development is scheduled to take place at the Computer History Museum in Mountain View, CA. This gathering aims to bring together over 400 engineers to explore and learn about shipping code faster with AI. The event features speakers from organizations like Modern Software Developer/Stanford and Abnormal Security, who will share production-tested tactics, prompting workflows, and mental models for optimizing codebases for AI agents. Attendees can expect hands-on workshops, an expo hall with over 20 booths to try new tools, and immersive focus rooms for deep dives into specific topics. The event emphasizes real-time learning and direct interaction with tool creators and peers.

Key takeaway

For software engineers and AI engineers looking to integrate AI into their development workflows, attending this event offers a direct path to acquiring production-ready tactics. You can learn specific prompting workflows to accelerate code delivery and gain insights into optimizing existing codebases for AI agents, potentially saving months of individual trial-and-error. This focused learning environment will help you implement effective AI-driven development practices immediately.

Key insights

The event offers practical, production-tested strategies for AI-assisted code development and agentic engineering.

Principles

• Learn directly from tool builders
• Prioritize production-tested tactics
• Optimize codebases for AI agents

Method

Workshops will provide prompting workflows to ship production code faster and mental models for making codebases agent-friendly.

In practice

• Implement a new prompting workflow
• Evaluate AI coding tools
• Network with AI engineering peers

Topics

• Coding Agents
• AI-assisted Development
• Prompt Engineering
• Code Optimization
• AI Development Tools

Best for: NLP Engineer, Software Engineer, Machine Learning Engineer, AI Engineer

Related on AIssential

• How I code with agents, without being 'technical' — AI agents enable non-technical users to build complex software by abstracting traditional coding into a guided, iterative process.
• 10 Lessons for Agentic Coding — Agentic coding is transforming software development, requiring new approaches and skills.
• Open Source Coding Agents: The Future of AI-Driven Software Development — Open source coding agents enable autonomous, scalable software development by orchestrating multi-agent workflows and offering model flexibility.
• Steve Yegge Wants You to Stop Looking at Your Code — AI agents will transform coding into orchestration, shifting human roles to managing complex problems and leveraging taste.
• Agents should interview you — AI agents can significantly accelerate development by interviewing users for requirements and automating code generation and testing.
• What's good for human developers is good for AI agents (and vice versa) — Agents can autonomously generate code changes and pull requests by leveraging internal data and collaborative prompting.

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Editorial summary, takeaway, and curation by AIssential. Original article published by MLOps.community.