
How I'm Building 24 AI-Powered Apps in Parallel
One dev, one CLI, 24 subdomains, and a lot of parallel agents. The playbook for shipping an AI app portfolio.
A publication about building with AI agents. Essays, field notes, and working software.

One dev, one CLI, 24 subdomains, and a lot of parallel agents. The playbook for shipping an AI app portfolio.
A letter from the editor on why Developers Digest is becoming a publication, not a product.
Developers Digest started as a YouTube channel in 2019. For most of its life it has looked like a personal brand with a newsletter stapled to the side. That is no longer a useful description. What it is becoming, in 2026, is a small independent publication about building software with AI agents - one writer, one camera, and a portfolio of apps used as live case studies.
The pivot is quiet but deliberate. The homepage is the front page. The blog is the long read. The videos are the documentary. The apps are the reporter's notebook. Everything that ships here starts from the same question: what does it actually look like to build, run, and pay for software when the agent is doing most of the typing?
Continued inside - see The Essay

Codex automations are useful when recurring engineering work has clear inputs, reviewable outputs, and safe boundaries. Here is the practical playbook.

OpenAI is turning Codex from a coding assistant into a broader agent workspace for files, apps, browser QA, images, automations, and repeatable knowledge work.
Boris Cherny's loop-heavy Claude Code workflow points at the next Codex content lane: recurring agents that babysit PRs, CI, deploys, and feedback streams.
Codex is no longer just a terminal agent. Here is when to use the Codex SDK, Codex CLI, or openai/codex-action, and how to avoid building the same agent loop three times.
The trending Free Claude Code repo is not just about avoiding API bills. It points at a bigger developer-tool pattern: model gateways for AI coding agents.
The latest GPT Image 2 prompt-library repos are not just galleries. They point at a practical workflow for repeatable visual systems, agent-friendly templates, and cheaper creative iteration.
Andrej Karpathy's loopy era frame explains why Codex is becoming less like a chatbot and more like an agent loop manager for real software work.
An essay, a working repo, and a short field note from whichever app is breaking that week. Written for people who would rather ship than opine.