Software Engineer & AI Enthusiast
7 posts in category "Automation"
This blog runs on a custom automation pipeline where AI agents compete, critique, and synthesize every post. Here's how the /create-blog-post command, a DALL-E 3 image generation script, pre-commit image enforcement, and WebP optimization all compose into a content system that behaves like production software.
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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.
Attractor is a DOT-based AI pipeline orchestration engine that borrows its name and philosophy from dynamical systems theory. Define your workflow as a Graphviz directed graph, and Attractor pulls multi-LLM execution toward your desired outcome — through conditional branches, retries, human gates, and failure recovery. The entire codebase is AI-generated, making it a live proof of the Software Factory paradigm it embodies.
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.
Build a self-sustaining blog workflow where ideas become published posts automatically. This comprehensive guide shows how to use Notion to-do lists as your content queue, integrate AI assistants like Claude Code and ChatGPT via Model Context Protocol (MCP), and create a seamless pipeline from idea capture to publication. Learn the technical setup including Notion API configuration, Hugo integration, and how AI reads your ideas, generates complete blog posts with proper formatting, and marks tasks complete—turning content creation from a manual chore into an automated system.
Transform your blogging workflow by integrating GitHub Copilot with GitHub Issues and Projects. This guide shows how to automate blog post creation, track progress from idea to publication, and eliminate context switching between multiple tools. Learn how GitHub Copilot can read issue descriptions, generate complete posts with proper frontmatter, automatically close issues when publishing, and create a seamless content management system where ideas become published posts with minimal manual intervention and maximum efficiency.