AI rewards strict APIs

kept by eddie apr 29

Strict APIs with typed interfaces and validated schemas give AI agents tight feedback loops, reducing debugging and token costs, while loose APIs create ambiguity that slows agents down.

AI and the great CMS unbundling
AI drives the cost of content creation toward zero, making a CMS's control layer (approvals, roles, trust) more critical wherever content is shared across people and systems.
also on Dries Buytaert, Drupal, Lovable, #software-engineering, #developer-tools
The model picker is a dead end
Lovable's model independence means deeply customizing instructions, tools, and context for each model rather than treating them as interchangeable, using a control plane to dynamically assign tasks based on real-time build progress and optimizing for working applications, not benchmark scores.
also on Lovable, #ai-coding, #software-engineering, #developer-tools
Lovable CTO: The Future of SaaS Is Apps That Agents Can Use
Lovable is evolving from AI app builder to a platform that exposes app functions as MCP-powered capabilities for AI agents to use, aiming to create a unified company brain.
also on Lovable, #ai-coding, #developer-tools
Vibe Coding Without System Design is a Trap
AI-assisted coding lowers barriers to creation but risks shipping poorly-built products unless teams pair it with deliberate system design.
also on WordPress, #ai-coding, #software-engineering, #developer-tools
Introducing EmDash — the spiritual successor to WordPress that solves plugin security
Cloudflare launches EmDash, a serverless TypeScript CMS built on Astro that sandboxed plugins via Workers isolates to solve WordPress security issues while offering MIT licensing and x402 payments.
also on WordPress, #open-source, #developer-tools