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THE DAILY INDEX

Technology, AI, software, security, crypto and business

GENERAL

TLDR Dev

WHAT I LEARNED BUILDING AN OPINIONATED AND MINIMAL CODING AGENT

This dev got frustrated with Claude Code constantly changing and adding features he didn't need, so he built his own minimal coding agent called “pi” with just 4 tools (read, write, edit, and bash) and a tiny system prompt under 1,000 tokens. He deliberately skipped everything that other agents have (no MCP servers, no permission prompts, and no plan modes). Despite being so simple, it scored competitively on Terminal-Bench, proving that less can actually be more at times.

HOW WE USE AI TO TURN FIGMA DESIGNS INTO PRODUCTION CODE

Monday discovered that asking AI to directly generate code from Figma produced messy output with hard-coded values that didn't follow their design system. Instead, its team built an MCP that made their design system machine-readable and a LangGraph agent that analyzes the design through 11 steps (figuring out which components to use, resolving design tokens, and planning accessibility), then returns a structured context that the coding model uses to generate production-ready code.

HACKING MOLTBOOK: AI SOCIAL NETWORK REVEALS 1.5M API KEYS

Wiz researchers found security flaws in Moltbook, a new AI social network, due to a misconfigured Supabase database. This vulnerability granted full read and write access, exposing 1.5 million API authentication tokens, 35,000 user emails, private messages, and even third-party credentials. The vibe-coded platform, initially claiming 1.5 million AI agents, was largely made of only 17,000 human owners controlling fleets of bots.

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