Software Engineer & AI Enthusiast
5 posts tagged with "Open-Source"
After refusing to pay for yet another AI subscription I couldn't customize, I switched from Notion to Obsidian and discovered there was no way to use my existing AI services inside it. So I built one — an open source AI Agent Sidebar plugin developed with agentic engineering and the dark factory method.
The first version of agent-config tried to impose uniform rules on Claude, Codex, Copilot, and Gemini — and it broke. The fix wasn't better engineering up front. It was accepting failure fast, letting AI handle per-agent format conversion, and shipping a v2 that actually works. Here's what the failure taught about human instinct, AI-assisted iteration, and why failing cheaper is a skill worth building.
Discover how to manage Claude, Codex, and GitHub Copilot configurations from a single source of truth. The coreydaley/agent-config GitHub repository provides a centralized home for agent instructions, reusable skills, custom commands, subagents, and prompts—with a simple Makefile-based setup that symlinks everything into place across your AI tools.
Announcing the release of coreydaley-dev, a fun and functional Hugo theme now available on GitHub under the MIT license. This post explores why I'm open sourcing the theme, its standout features including special date avatar swapping, the collaborative AI-assisted development process, and how you can use it for your own projects. Discover a Hugo theme that balances personality with performance, built through human-AI collaboration and designed to make static sites more engaging and distinctive.
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Is it ethical to use AI coding agents like GitHub Copilot and Claude Code to write open source contributions? This post explores both sides of the debate—from democratizing contributions and amplifying productivity to concerns about misrepresenting skills and undermining community trust. We examine when AI assistance crosses the line, what transparency means in practice, and what consequences, if any, should apply when developers build their reputation on AI-generated code they don't fully understand.