
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

SNEWPAPERS is a useful Show HN signal: the strongest agentic search products do not replace search results with prose. They teach the agent to operate a real search system.

Manual approval prompts stop protecting users when coding agents ask too often. The better pattern is risk-aware autonomy: safe defaults, narrow deny rules, and approvals only for meaningful changes.
Claude Code is turning into an orchestration layer for agent teams. Here is how subagents, MCP, hooks, and long context fit together in 2026.
A Show HN PDF form demo points at a bigger architecture shift: keep sensitive documents local, expose narrow browser tools to the model, and make AI assistance inspectable.
OpenAI's April 2026 Codex changelog shows a clear product shift: Codex is becoming a full agent workspace with goals, browser verification, automatic approval reviews, plugins, and tighter permission profiles.
DeepSeek V4 is trending because it is close enough to frontier coding models at a much lower token price. The real question for developers is where cheap reasoning belongs in an agent stack.
Flue is trending because it names the part of agent infrastructure that is becoming product-critical: the programmable harness around the model.
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.