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Puter.js - The Backend for AI-Generated Apps
Puter.js - The Backend for AI-Generated Apps
Puter.js is the backend for AI-generated apps. Use your existing AI coding tool to build production-ready apps with up to 90% fewer AI tokens. Auth, cloud storage, database, OpenAI, Claude, Gemini, Grok, Kimi, DeepSeek, and more, all through a single JavaScript library. No API keys. Zero setup.
·developer.puter.com·
Puter.js - The Backend for AI-Generated Apps
Engineering High-Performance Parsers with Data-Oriented Design
Engineering High-Performance Parsers with Data-Oriented Design
Notes from building Yuku: the AST is flat arrays of u32 indices instead of a pointer tree, and memory layout, allocation, strings, unicode, and serialization all follow from that one decision.
·arshad.fyi·
Engineering High-Performance Parsers with Data-Oriented Design
Which AI actually reads your site? Two months of LLM traffic, measured—Martian Chronicles, Evil Martians’ team blog
Which AI actually reads your site? Two months of LLM traffic, measured—Martian Chronicles, Evil Martians’ team blog
We told you to measure. So of course we did it ourselves too: two months of server-side LLM traffic to evilmartians.com. Find out which agents read HTML, which read Markdown, what llms.txt actually does, and the one technique that got zero hits.
#ai#crawler
·evilmartians.com·
Which AI actually reads your site? Two months of LLM traffic, measured—Martian Chronicles, Evil Martians’ team blog
Animating details Element with Only CSS
Animating details Element with Only CSS
This post provides the most straightforward and minimum way to animate the HTML detials element using only CSS.
#css
·austingil.com·
Animating details Element with Only CSS
Throwing Confetti with CSS Random
Throwing Confetti with CSS Random
Throwing some confetti while exploring the CSS random() function through its specification and its current implementations, finding both the beauty and the pitfalls along the way.
#css
·schalkneethling.com·
Throwing Confetti with CSS Random
edge-aura — organic screen-edge glow
edge-aura — organic screen-edge glow
An organic glow that hugs the edge of your screen. Zero-dependency Canvas 2D engine with a thin React adapter.
#react
·edge-aura.js.org·
edge-aura — organic screen-edge glow
Decoy Font: A TTF font that hides what you type
Decoy Font: A TTF font that hides what you type
Decoy Font combines every letter with a decoy, making it harder for AI to read what you type. Type a message to try it out or download the TTF directly.
#font#ai
·mixfont.com·
Decoy Font: A TTF font that hides what you type
AI Readyな開発環境の整え方
AI Readyな開発環境の整え方
Orchestration Guildメンバーの迫川です。普段はAgent platformの開発をしています。この記事は、社内ワークショップOrchestration Development Wor...
#ai
·techblog.lycorp.co.jp·
AI Readyな開発環境の整え方
The Monorepo Advantage for AI Agents | Nx Blog
The Monorepo Advantage for AI Agents | Nx Blog
AI agents underperform not because of the models but because of the architecture around them. Repo boundaries limit what agents can read, what they can write, and what they can remember.
#ai#monorepo
·nx.dev·
The Monorepo Advantage for AI Agents | Nx Blog
Prompt Caching In Agents | EARENDIL
Prompt Caching In Agents | EARENDIL
How prompt caching shapes the cost, latency, tools, and architecture of coding agents, and what Pi does to keep cache behavior visible.
#ai#pi
·earendil.com·
Prompt Caching In Agents | EARENDIL
GitHub - forloopcodes/contextplus: Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph. · GitHub
GitHub - forloopcodes/contextplus: Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph. · GitHub
Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-st...
#ai
·github.com·
GitHub - forloopcodes/contextplus: Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph. · GitHub
Matt Pocock on X: "Here's a decision tree for when you get to the end of a piece of work, and you're not sure how to continue: - Continue in the current session - /clear - /handoff - Use a subagent - /compact Posting for feedback. Which parts are confusing? What questions does it raise? https://t.co/4OSexT09u4" / X
Matt Pocock on X: "Here's a decision tree for when you get to the end of a piece of work, and you're not sure how to continue: - Continue in the current session - /clear - /handoff - Use a subagent - /compact Posting for feedback. Which parts are confusing? What questions does it raise? https://t.co/4OSexT09u4" / X
- Continue in the current session - /clear - /handoff - Use a subagent - /compact Posting for feedback. Which parts are confusing? What questions does it raise?
#ai
·x.com·
Matt Pocock on X: "Here's a decision tree for when you get to the end of a piece of work, and you're not sure how to continue: - Continue in the current session - /clear - /handoff - Use a subagent - /compact Posting for feedback. Which parts are confusing? What questions does it raise? https://t.co/4OSexT09u4" / X
mikeyobrien/pi-tidy-tools: Tidy, reason-first tool output for pi. Every tool call in two lines: why it ran, and what it returned. Diffs and output on demand.
mikeyobrien/pi-tidy-tools: Tidy, reason-first tool output for pi. Every tool call in two lines: why it ran, and what it returned. Diffs and output on demand.
Tidy, reason-first tool output for pi. Every tool call in two lines: why it ran, and what it returned. Diffs and output on demand. - mikeyobrien/pi-tidy-tools
#pi
·github.com·
mikeyobrien/pi-tidy-tools: Tidy, reason-first tool output for pi. Every tool call in two lines: why it ran, and what it returned. Diffs and output on demand.