anchildress1

The bare-minimum AI coding workflow—pick the right model, plan first, write AGENTS.md for agents not humans, and cross-check across LLMs before you blame the tool.

Your electricity traces back to a specific mine, a specific operator, a specific county. Unearthed names all three—and what it cost the mountain.

Legacy Smelter is a thermal decommission platform where a Gemini-powered dragon analyzes your code and files very serious, very unhinged postmortems.

A backend engineer builds an immersive narrated web experience with Canvas, WebGL, layered audio, and her own Appalachian voiceover. No frameworks. 13 ADRs.

Building Supascribe: a human-in-the-loop AI workflow where ChatGPT writes structured artifacts to Supabase with review safeguards.

I stopped reviewing code and let Google Gemini build my UI. Then I audited the results to see what autonomy in AI development actually produces.

A DEV Community dashboard that surfaces posts needing human replies so members can quickly find where to engage.

Why GitHub Copilot skills sometimes help—and sometimes hurt. Learn how scoped context and SKILL.md actually change agent behavior.

How I built a portfolio as a search system using Algolia, prioritizing retrieval speed, consistency, and real-world constraints.

Building a conversational interface on Algolia where chat acts as navigation, grounded in fast, predictable retrieval.

My Portfolio Doesn’t Live on the Page 🚫📃 Ashley Childress...

A systems‑first portfolio built with Antigravity—focused on outcomes over code, intentional constraints, and the work that lives beyond the page.

Your AI assistant can help write the code, but your git history still needs a human signature. Here’s how RAI footers make AI attribution explicit.

Why AI orchestration, context limits, and trust matter more than speed—and what building for the next five to ten years actually looks like.

A battle-tested approach to GitHub Copilot instructions—repo rules, priority stacks, validation loops, and why AI needs boundaries to be useful.

When ADHD energy drops into “done mode,” it’s not burnout—it’s a reset. Here’s what the spark cycle really feels like.

GitHub Copilot’s wild late-October 2025 release: agents, smarter reviews, embeddings, metrics, and that one “helpful” test that nearly went to prod. Chaotic, hilarious, and absolutely worth the read.

Learn how to stretch every GitHub Copilot premium request, avoid quota meltdowns, and still get reliable AI output. Includes tested models, workflows, and prompt tips.

Your AI assistant might be the most productive co-author you’ve ever had, but your git history doesn’t know it. Here’s how to fix that.

You’ve built your first GitHub Copilot c̶h̶a̶t̶ ̶m̶o̶d̶e̶ agent—now it’s time to tame it. Here’s how to set up, test, and share custom modes like a professional who occasionally yells at their AI.

The third way to shape how GitHub Copilot responds: c̶h̶a̶t̶ ̶m̶o̶d̶e̶s̶ agents. Now officially documented and live in your repo, they let you define Copilot’s behavior with your own personality, tone, and workflow—because coding assistants should sound like you.

A field guide to the safest, most reliable GitHub Coding Agent prompts—feature docs, test specs, bug fixes, and more—all proven to ship without breaking anything.

Previewing Verdent AI through Codeck turned into a full-tilt stress test: VS Code extension, multi-agent Deck, and plenty of chaos. Here’s what broke, what worked, and which parts outshined everything else—completely biased by my own strong opinions and nothing else.

Flip the right GitHub previews, understand Copilot’s PR shape, batch your review prompts, and keep control of the code—practical notes with just a dash of wizardry.

Everything you need to know about setting up GitHub's Coding Agent for best results—setup, advanced tricks, and gotchas from real stories and wins. Chaos, fun, and no filter.

A story-driven look at AI content, bans, why process matters, and why a little honesty beats a blanket rule every time.

The hackathon I said I’d never do again turned exhaustion into code.

Underfoot: The ChatPot for Hidden Places (and Why I Don’t Do...

My updated submission for the first hackathon I've done in more than 10 years, here's how it really happened.

An all-in, real-world guide to GitHub’s Coding Agent—what it really does, what can go sideways, and why “all in” was the only way I could learn. This is just the start of a whole series, because honestly, this rabbit hole goes deep.