Blog
11 posts tagged "ai-native"
Google's AI design tool generates high-fidelity UI from prompts, sketches, and voice. The interesting part isn't the generation — it's DESIGN.md and the MCP bridge to your codebase.
Read more →Paper eliminates the design-to-code translation by making the canvas itself HTML and CSS. What you design is what ships. The question is whether that's always what you want.
Read more →Pencil puts a Figma-like canvas inside your IDE with design files in Git and AI agents reading specs through MCP. The design never leaves the codebase.
Read more →Three new tools are collapsing the gap between design and code from different directions. The deeper shift isn't tooling — it's that agents need a shared design vocabulary to work at all.
Read more →Everyone obsesses over models and prompts. The real bottleneck in Retrieval-Augmented Generation is retrieval — and fixing it requires engineering, not bigger context windows.
Read more →A plain-language introduction to Retrieval-Augmented Generation — what it does, how it works, and why it's becoming the default way to make AI useful with your own data.
Read more →Andrej Karpathy's autoresearch lets AI agents run hundreds of ML experiments overnight on a single GPU. The implications go far beyond hyperparameter tuning — this is what the beginning of autonomous science looks like.
Read more →Both are CNCF Graduated. Both do GitOps well. But their architectures tell different stories about who the primary operator is — and that matters when agents enter the loop.
Read more →Most architecture documentation is either absent or abandoned. Arc42 gives it structure that humans can navigate and AI agents can maintain. Here is how we use it and why it stuck.
Read more →Internal documentation used to rot the moment it was written. Now AI writes it, maintains it, and uses it as context — turning the oldest chore in software into a self-sustaining feedback loop.
Read more →AI-native is not a marketing label. It describes a fundamentally different way to build software, run operations, and ship products. Here is what it looks like in practice.
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