$ blog --tag=Open Source

Found 7 posts with tag #Open Source

[]│Developer Philosophy│24 min read

$Agent-First Development: Build the Capability Before the Interface→

Mobile-first taught us to design for the most constrained screen first. Agent-first asks a more fundamental question: what should our software be able to do when the user never opens it? This post looks at assistants that live in messaging apps, at capabilities an agent can discover and verify, and at what changes for marketing, discovery, and small open-source projects when the evaluator is an agent.

[]│AI Tools│18 min read

$The Magic Prompt: A Minimal Invocation Into a Tested Human-Agent Workflow→

A magic prompt is not a clever wall of instructions. It is a small, portable entry point into an engineered, tested workflow that takes a human and an agent from intent to a verified outcome — pre-flight, prerequisites, installation, authentication, validation, and the next step included. Here is how it should behave, and how to build one in layers.

[]│Developer Philosophy│10 min read

$Start Your Project Now: Why Every Engineer Needs a Personal Codebase in 2026→

Work is the worst place to learn how to use AI well—precisely because it's the place where results are expected. In 2026, having a personal or open source project isn't about passion. It's about having a place where you're allowed to learn slowly so you can perform quickly elsewhere.

[]│Developer Philosophy│8 min read

$Your Own Personal Jesus: Why AI Needs Moral Agents, Not Moral Chatbots→

There's a line in a song that aged better than anyone expected: your own personal Jesus. In the AI era, it stops being poetic and starts becoming literal. But this isn't about simulating Jesus—it's about building agents that embody the behavioral patterns of moral revolutionaries, governed openly, and accessible to everyone without institutional gatekeeping.

[]│Developer Philosophy│11 min read

$The Next Dataset for the Web: Why Our Conversations With Agents Must Become a Commons→

For the past decade, AI models trained on the open web. That era is ending. The next frontier of training data isn't on websites—it's in our conversations with agents. If we don't build infrastructure to capture and share this data, the future of AI will be fragmented, siloed, and closed. Here's why we need an Agent Data Commons, and what it would look like.

> Results: 7 posts
> Tag: #Open Source