Setting Up Dozzle with Auth on Coolify
Guide on setting up Dozzle with authentication on Coolify for secure, real-time Docker container logs, CPU, and memory monitoring.
Read moreHey there, I'm Roger Stringer
I build products, automate with AI, and write about it.
AI Product Engineer with 27 years of experience turning rough problem statements into polished products. I work across the full stack — frontend, backend, databases, devops, and cloud. Available for Fractional CTO engagements.
This site is where I talk, think, and share about things I find interesting.
Featured
How to use Claude Code to QA your website
My dialer QAs itself: Claude Code logs in, dials a list of Twilio test numbers — a voicemail, an IVR, a simulated gatekeeper — records what happened vs. what should have, and files GitHub issues for another agent to fix.
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Self-Hosting n8n on Railway
n8n is a powerful workflow automation tool that helps connect different services and automate tasks, ideal for personal or small-scale use.
Read moreRecent Writing
Get Butters: A Quick Events Dashboard
I wanted a simple dashboard that showed me events as they happened, so I wrote a quick little Astro app. It grew into Get Butters: a real-time event feed with a REST API, a CLI, insight cards and push alerts.
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The Agentic OS in Practice: Running Multiple Agents Without Losing Control
Once four agents can edit the same repo, architecture stops being the hard problem and coordination starts. The five roles I run and what each one is forbidden to touch, why every handoff goes through a file, a worktree script so agents stop racing, and the failure modes worth naming.
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Your AI Agent Needs a Definition of Done
Saying "done" costs a model nothing, which means it carries no information. A definition of done has four machine-checkable parts: source boundaries, acceptance criteria written as observations, verification commands the agent does not own, and a list of claims it must refuse to make without evidence.
Read moreFeatured
Setting Up Dozzle with Auth on Coolify
Guide on setting up Dozzle with authentication on Coolify for secure, real-time Docker container logs, CPU, and memory monitoring.
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How to Build an Agent QA Loop That Files Its Own GitHub Issues
A one-shot QA pass is a demo. Put it on a cron and it files the same issue every morning until the qa-bot label is a landfill. Here is the loop that makes the queue drain instead of grow: a spec in version control, fingerprinted issues, a reconciler with no opinions, and auto-close when the flow goes green.
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Context Engineering for Production Agents: Sources, Boundaries, and Evaluation
A practical framework for giving production agents the right evidence, the right limits, and a measurable definition of done.
Read moreField Guides
Mastering EmDash: Setup, Migration, Hosting, and Databases for the Astro-Native CMS
EmDash is what happens when someone rebuilds the WordPress idea from scratch for 2026: a TypeScript CMS that lives inside your Astro app, runs on Cloudflare Workers or any Node…
BackendFrontend
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GTM Engineering with Agents: A Field Guide to Automating the Funnel
Every go-to-market team is really running a handful of pipelines. Leads come in, get cleaned up, get scored, get worked, and either turn into revenue or quietly rot. Most of that…
AgentsAIAutomationBusiness
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AI Project Management: Shipping Software When Agents Write the Code
Something strange happened to my job this year. The typing got cheap. An agent can turn a paragraph of intent into a working pull request while I refill my coffee, and yet the…
AgentsAIArchitectureAutomationLeadership
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Mastering Hermes
Most of this series treats Hermes as the place its ideas land. Building Your Agentic OS pivots to it, Running the Fleet orchestrates on it, Self-Hosting the Agentic Stack deploys…
AgentsAISelf-Hosting
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Agent Memory: A Field Guide
Two people give the same agent the same task and get wildly different results. Most of the time it isn't the prompt. It's that one of them gave the agent a memory and the other is…
AgentsAIArchitecture
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Loop Engineering: Designing Agents That Run Themselves
Everyone obsesses over which model to use. Almost nobody engineers the fifty lines of code wrapped around it, the loop that decides what the model sees, when it gets to act, when…
Read guideBookmarks
2026-08-16
Everything I know about good API design
Read more2026-08-14
celld: self-hosted, distributed Durable Objects
Read more2026-08-10
Your code is your responsibility, even if AI wrote it
Read more2026-08-07
No Meat Proxy
Read more2026-07-10
Render JSX to images. Skip the browser.
Read more2026-06-29