AUTHOR
Patrick Debois
Patrick Debois, the father of DevOps, works at the intersection of DevOps, platform engineering, and AI-native development, helping teams integrate generative AI into software delivery.
Articles
Article
Context Maturity for AI Coding Teams
Explore the maturity path for AI coding teams focusing on context management, toolchain awareness, and organizational roles to enhance agent productivity.
Article
CI/CD for Context in Agentic Coding: Same Pipeline, Different Rules
Explore how CI/CD principles apply to managing context in AI coding agents, focusing on evals as tests and the challenges of integrating them into development pipelines.
Article
The Context Flywheel: Why the Best AI Coding Teams Will Win on Context
The Context Flywheel explores how iterative context development in AI coding teams enhances agent output, expertise, team learning, and organizational alignment.
Article
The Context Development Lifecycle: Optimizing Context for AI Coding Agents
The Context Development Lifecycle focuses on optimizing context for AI coding agents, highlighting the shift from code writing to context understanding in software development.
Product
Introducing Task Evals: Measure Whether Your Skills Actually Work
Today we’re launching Task Evals: a built-in way to measure whether a skill is actually steering agent behaviour. Skills can be well written and still drift as models and surrounding context change. Task evals compare outcomes with and without a skill, making it clear when it’s helping, doing nothing, or working against you.
registry
How to teach coding agents your software libraries
Tessl Tiles fix LLMs mixing up or hallucinating software libraries with Agent optimized documentation that matches your project.
context engineering
Prompt reuse starts with a Registry
Reuse and share your prompts across your agents, projects and teams using the Tessl registry.
Article
Spec-Driven Development: 10 things you need to know about specs
Discover how spec-driven development transforms AI collaboration by shifting focus from micromanagement to clear requirements, empowering developers to effectively communicate intent and streamline the coding process.
Article
AI Native DevCon, the event for spec-driven, AI software development, in NYC!
AI Native DevCon is BACK with an in-person experience this fall. DevCon is the only event dedicated to spec-driven, AI-native software development where coding agents, next-gen dev tools, and forward-looking practices aren’t side tracks, they’re the main stage.
Article
Configuring Claude Code
Sick of manual Claude Code setup? Automate your config easily with CLI tricks, custom API keys, MCP servers, permissions, and hidden VSCode extension tips.
Article
Parallelizing AI Coding Agents
Discover a new AI dev workflow: how to parallelize coding agents for faster builds, deeper exploration, and smarter reviews using tools like Claude Code.
Article
7 learnings from the AI Engineering SF World Fair 2025
AI coding agents dominated the 2025 SF World’s Fair. From spec-driven dev to cloud agents and parallel execution, here are 7 takeaways shaping AI-native engineering.
Article
Can AI keep its commitments? Key Takeaways from Guy Podjarny’s AI Native DevCon Keynote
Can AI make real commitments like humans do? Guy Podjarny explores trust, autonomy, and the future of AI-driven development in his AI Native DevCon keynote.
Article
Copilot's Quiet Comeback
GitHub Copilot is fighting back with powerful new features like Agent Mode, custom prompt management, and integration tools—aiming to reclaim its edge in the enterprise AI coding space.
Article
Pattern #4: Content Creation to Knowledge
AI is transforming unstructured content—docs, chats, tickets—into real-time knowledge that accelerates learning and improves code. The future of dev work is building systems that learn with us.
Article
Pattern #3: From Delivery to Discovery
AI handles the code—now it's your turn to explore. Discover how devs can shift from delivery to discovery and build what really matters.
Article
Pattern #2: From Implementation to Intent
From low-level instructions to high-level intent, the future of development is shifting—natural language, shared prompt libraries, and executable specs are redefining how we build software.
Article
Pattern #1: From Producer to Manager
AI writes the code. You call the shots. Discover how devs are becoming reviewers, architects, and decision-makers in the age of AI.
Article
Announcing the AI Native Dev Landscape
Your one-stop map for the latest AI dev tools—built for developers, researchers, and VCs.
Article
The 4 patterns of AI Native Dev - Overview
AI is transforming software development, shifting roles from coding to managing, intent-setting, rapid prototyping, and knowledge-sharing. In this blog, Patrick Debois explores the four emerging AI Native Dev patterns and how to stay ahead in this evolving landscape.