AI Vibe Coder That Can Build & Test

Today’s top AI Highlights:

1. RAG everything with the smallest vector index in the world

2. First AI vibe coder that can see and test what it built

3. OpenAI Codex¹ can now run in your IDE

4. Run a bunch of parallel Claude Codes in isolated workspaces

& so much more!

Read time: 3 mins

AI Tutorial

Building targeted B2B outreach campaigns is one of the most time-consuming aspects of sales and marketing. The challenge isn't just finding companies; it's discovering the right decision-makers, researching genuine insights, and crafting personalized messages that actually get responses.

In this tutorial, we'll build a multi-agent AI email outreach system using OpenAI GPT-5, Agno for orchestrating agents, and Exa AI for intelligent web search. This system automates the entire outreach pipeline - from company discovery to personalized email generation - delivering professional, research-backed outreach emails in minutes instead of hours.

Our multi-agent system conducts real research on each company using website content and Reddit discussions and ensures every email feels genuinely personalized.

We share hands-on tutorials like this every week, designed to help you stay ahead in the world of AI. If you're serious about leveling up your AI skills and staying ahead of the curve, subscribe now and be the first to access our latest tutorials.

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Latest Developments

RAG Everything with the Smallest Vector Index in the World 🤌 💽

Vector databases eat storage like hungry monsters, demanding 1.5 - 7x more space than your original data just to store embeddings and index metadata.

For personal devices with limited storage, this makes local RAG nearly impossible when a 100GB dataset balloons into 700GB of vector database.

UC Berkeley researchers released LEANN, a storage-efficient vector index designed for RAG use cases, particularly on edge devices with limited memory. You can literally transform your laptop into a powerful RAG system that can index and search through millions of documents while using 97% less storage than traditional solutions without accuracy loss.

Instead of storing massive embedding files, LEANN recomputes embeddings on-the-fly during search and uses a pruned graph structure that preserves only the most important information.

Key Highlights:

1. Massive storage reduction - Reduces total index storage to under 5% of original data size by discarding stored embeddings and pruning graph metadata, achieving up to 50x smaller storage footprint than conventional vector indexes.

2. Recomputation strategy - Uses a two-level search algorithm that combines lightweight approximate distances with exact computations only for the most promising candidates, plus dynamic batching to maximize GPU utilization during embedding recomputation.

3. Graph pruning - Strategically removes low-utility edges while preserving critical "hub" nodes that maintain search effectiveness, reducing graph metadata storage by over 50% without accuracy loss.

4. Real performance - Achieves 90% recall in under 2 seconds on real-world benchmarks, with 3x speedup on GPU compared to CPU-only systems.

First AI Vibe Coder That Can See and Test What It Built 👀 🧑‍💻

Vibe coding with platforms like Lovable, Replit, Bolt, and v0 has been half-magic, half-nightmare.

The magic happens in the first 5 minutes when your app materializes from a simple prompt. The nightmare starts when you realize that the buttons don't work and features that look perfect but function terribly.

Lindy just fixed this flaw with Lindy Build, the only vibe coding platform that not only creates full-stack applications and websites, but also tests them autonomously.

Lindy Build apps are production-ready with databases, integrations, front-end, payments, auth, and other back-end configuration built in. Once built, it deploys autonomous web browsing AI agents that can test the work, find bugs, and fix them in the background so you can skip the painful debugging process. 

Key Highlights:

1. Visual Testing - Web browsing agents actually interact with your built application, clicking buttons and filling forms to identify functional issues that code-only AI systems can't detect.

2. Autonomous Debug - When testing reveals broken features, the system automatically implements fixes and retests them, creating continuous improvement without human debugging sessions.

3. Integrated with Lindy Agents - Seamlessly connects with Lindy's broader AI agent ecosystem for immediate deployment of sales, marketing, and support agents once your application is ready.

4. Availability - It’s available now and completely free to try.

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Quick Bites

OpenAI Codex Can Now Run in Your IDE
OpenAI Codex is now available in VS Code, Cursor, and other forks via extension. The extension lets you chat with Codex using context from your open files and selected code. Powered by GPT-5, it runs in "Agent" mode by default, reading files and making edits locally with your approval, but you can also offload substantial tasks to cloud environments while tracking progress from your editor.

Cloudflare Consolidates 350+ AI Models Under One Endpoint
Cloudflare rolled out significant upgrades to AI Gateway, introducing unified billing across 350+ models, secure key storage, and dynamic routing that lets you A/B test models or chain them together. The platform also added automatic translation between different provider APIs, so your OpenAI-formatted requests work seamlessly with Google's Gemini or Anthropic's Claude. It's essentially becoming the CDN equivalent for AI inference.

Tools of the Trade

1. Conductor: Run a bunch of parallel Claude Codes in isolated workspaces. It creates a new git worktree and branch for each Claude Code with its own working directory, so one agent doesn’t interfere with another one. It’s completely free and uses your Claude subscription.

2. Halluminate: A fully-simulated internet made up of synthetic versions of the most common consumer and enterprise apps for training computer-use AI agents. For eg, AI agents can practice planning vacations on a simulated flight booking site (flights.halluminate.ai) or learn how to reorganize outdated information in your sales platform.

3. Microsoft’s MCP Gateway: A reverse proxy and management layer for MCP servers that provides scalable, session-aware routing and lifecycle management in Kubernetes environments. Includes enterprise features like authentication, authorization, telemetry, and session affinity for stateful connections.

4. Awesome LLM Apps: A curated collection of LLM apps with RAG, AI Agents, multi-agent teams, MCP, voice agents, and more. The apps use models from OpenAI, Anthropic, Google, and open-source models like DeepSeek, Qwen, and Llama that you can run locally on your computer.
   (Now accepting GitHub sponsorships)

Hot Takes

1. Every major AI lab is hiring people who can:

   – ship eval pipelines

   – scale training infra

   – write interpretable logs

   MLE ≠ "fine-tune a llama"

   It’s how to make reasoning reliable at scale.

   Get in. It’s day 1. ~
   Adi Polak

   
   

2. Nobody wants to hear this, but building wrappers with high quality UX on top of foundation models is an extremely good business model.

   For all OpenAI does, UX is not their strong suit. ~
   Alex Reibman

That’s all for today! See you tomorrow with more such AI-filled content.

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