Adios Blog
Field notes for building and shipping software.
Product updates, engineering decisions, and practical guidance from the team building Adios.
Inside the Adios edge network
Thirteen current edge locations bring requests onto the Adios network. Here is what happens there—and what still happens in a compute region.
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More from Adios
How to Turn Claude Output into a Live App
Claude can help write the first version. The production work is keeping that code attached to source, config, previews, logs, and a deployment path.
Source-Backed AI Workspaces vs. Sandboxes
Sandboxes are good for experiments. Source-backed AI workspaces are for code that needs Git history, previews, logs, secrets, and deployment.
The Deploy Contract for AI-Generated Apps
AI-generated code still needs a contract: build it, start it, configure it, check it, and route traffic to the exact version you reviewed.
MCP Servers Are Production Software, Not Local Demos
A hosted MCP server needs the same discipline as an API: auth, input validation, timeouts, secrets, health checks, logs, and deploy history.
Why Health Checks Matter for AI-Built APIs
AI can generate an API quickly, but the platform still needs a truthful health endpoint before it should send production traffic.
Keep secrets out of source
Environment names can live in a manifest. Credentials should not. Secret references preserve that boundary from local work through production.
Designing a small production API
A production starter does not need dozens of abstractions. It needs a clear process boundary, predictable configuration, and enough signals to operate safely.
More ways to start on Adios
The template catalog now reaches beyond a handful of app starters. It covers web apps, APIs, databases, caches, and queues in one place.
One Manifest from Local to Live
A small adios.yaml keeps build and runtime decisions close to the code, whether the source starts in a local folder or a shared workspace.
Choose a template by constraint, not hype
The best starter is usually the one that matches your team, data, and operating constraints—not the framework with the loudest launch week.