Agentic AI Developer Inspired by Claude Code

Today’s top AI Highlights:

1. Weaviate’s opensource package for agentic RAG apps

2. Claude Code reimplemented in Genspark AI

3. ChatGPT's model picker is back with even more options

4. Claude Opus 4.1 for planning, and Sonnet 4 for execution

5. Run Claude Code, Codex, or any coding agent in isolated sandboxes

& so much more!

Read time: 3 mins

AI Tutorial

Our Awesome LLM Apps repo has over 100+ AI Agents and RAG apps.

We’re giving away an insane AI workflow for free that lets you build your own AI Agent in under 3 minutes with zero coding experience.

Here's the exact 3-step process:

Step 1: Find the Blueprint
↳ Browse the Awesome LLM Apps repository on GitHub
↳ Pick any AI agent that solves your problem
↳ Copy the entire repo URL

Step 2: Create the Super Prompt
↳ Drop the GitHub URL into gitingest
↳ Get an LLM-friendly version of the entire codebase
↳ Copy the generated prompt

Step 3: Let AI Build It
↳ Paste the prompt into Gemini (preferred because of long context)
↳ Ask for your custom version
↳ Get working code, README, and requirements in minutes

By following this workflow, you can create fully functional AI agents that would have taken days to code manually. Watch the full tutorial here 👇

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Latest Developments

Genspark AI Developer Inspired by Claude Code 🧑‍💻✨

Your next website could be live in minutes, built by an AI that doesn't need you to understand a single line of code.

Genspark has reimplemented Claude Code's architecture as their new AI Developer, making autonomous coding accessible to everyone, not just programmers. While Claude Code revolutionized how developers work in terminals, Genspark AI Developer brings that same L4 autonomy to non-technical users through an intuitive browser interface.

The platform supports multiple frontier AI models including Claude Sonnet 4, Opus 4.1, GPT-5, and others, letting users choose the best model for their specific coding tasks. You can build literally anything - SaaS with admin dashboards, e-commerce websites with shopping carts, and even games - from just one simple prompt. You can also integrate GitHub to export the code.

Key Highlights:

1. Full-stack Apps - Builds full-stack applications including user interfaces, backend logic, and admin panels from a single prompt, eliminating the traditional development pipeline.

2. Multi-model - Choose from Claude Sonnet 4, Opus 4.1, GPT-5, Kimi, and Groq models based on your project needs, with seamless switching between different AI capabilities.

3. L4 full autonomy - Moves beyond L3 copilot tools that require coding knowledge, handling complete planning, coding, testing, and shipping workflows independently.

Build Real-time Voice Agents and Virtual Avatars 🤖 🤙

Voice agents that actually work at scale have always felt like stitching together a Frankenstein's monster of STT, LLM, TTS, and WebRTC endpoints with HTTP glue and hope.

VideoSDK just opensourced their complete AI agents framework that eliminates the infrastructure nightmare and gives you production-ready voice agents that feel genuinely human.

This Python SDK lets you deploy conversational AI agents that join live video calls, handle phone calls with sub-80ms latency, and work across platforms with the reliability of enterprise video conferencing. The framework includes everything from semantic chunking and RAG to avatar integration, with native support for 20+ AI providers, including OpenAI, Anthropic, and Google Gemini.

Key Highlights:

1. Infrastructure-first approach - Built-in WebRTC infrastructure delivers sub-80ms global latency with native turn detection, VAD, and noise suppression, eliminating the need to stitch together separate audio services.

2. Provider ecosystem - Swap between 20+ providers for STT, LLM, and TTS including OpenAI, Gemini, ElevenLabs, and Cartesia, without vendor lock-in, plus real-time model switching mid-conversation.

3. Cross-platform deployment - Single codebase deploys across web, mobile, Unity, IoT, and telephony with SDKs for every major framework, plus SIP integration for PSTN access.

4. Production-ready scaling - One-click deployment to Agent Cloud or self-host with full control, including built-in observability, error handling, and agent-to-agent communication protocols.

Weaviate’s Package to Build An End-to-End Agentic RAG App 📑🔍

Text-in-text-out RAG has served us well. But what if your AI could dynamically decide not just what to say, but how to show it?

Meet Elysia, an opensource agentic RAG framework by Weaviate that fundamentally rethinks how we interact with data.

Instead of blind vector searches, Elysia first analyzes your data collections to understand what you actually have, then builds a decision tree to figure out the best tools and display formats for each query. The system includes seven different ways to present information - from product cards to interactive charts - and automatically picks the right one based on your data structure.

It comes as both a complete web app and a pip install Python package, connecting to your Weaviate Cloud instance while showing you exactly how it makes decisions through a real-time decision tree view.

Key Highlights:

1. Data Expert - The RAG agent examines your collections first to create summaries, metadata, and appropriate display mappings rather than performing blind searches and hoping for relevant results.

2. Coordinated Agent System - Decision agents work through pre-defined action trees with global context awareness, handling errors intelligently, and preventing infinite loops with retry limits.

3. Dynamic Presentation Logic - Chooses from seven display formats including product cards, conversation threads, and interactive charts based on data analysis, with plans for actionable displays like booking capabilities.

4. Learning Feedback System - Stores your positive feedback as examples in Weaviate, then uses vector similarity to find relevant past interactions for few-shot learning with smaller, cheaper models.

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Quick Bites

Claude Code now has a new /model option: Opus for plan mode. This setting uses Claude Opus 4.1 for plan mode and Claude Sonnet 4 for all other work - getting the best of both models while maximizing your usage.

OpenAI just brought back ChatGPT's model picker, but with more options than ever. You can now choose between "Auto," "Fast," and "Thinking" modes for GPT-5, plus access legacy models like GPT-4o through a new "Show additional models" toggle. Sam Altman admits it "really just needs to get to a world with more per-user customization of model personality" after users complained GPT-5 felt too flat compared to GPT-4o's warmer tone.

The MIT spinoff, Liquid AI, just released its first vision-language models, extending its LFM2 series into multimodal space. LFM2-VL comes in 450M and 1.6B variants, both engineered for resource-constrained deployment, ranging from phones, laptops, and single-GPU instances to wearables. The models can process images in native resolution, and come with 2x faster inference speed than comparable VLMs. Available to download from Hugging Face under Apache 2.0.

Gemini CLI now integrates into VS Code. The CLI now reads your open files and text selections while rendering AI suggestions through VS Code's native diff interface, letting you modify code directly within the preview. Installation takes seconds: run /ide install from your integrated terminal, then toggle with /ide enable to activate workspace-aware AI assistance.

PageIndex AI released the first long-context AI model for OCR. OCR systems, even today, treat multi-page docs like a stack of unrelated images. This new model maintains hierarchical structure across entire documents, preserving section relationships and generating proper table-of-contents trees instead of the usual fragmented markdown mess. Early benchmarks show it significantly outperforms Mistral and Contextual AI's OCR tools at understanding documents as cohesive wholes rather than isolated pages. Available via API.

Tools of the Trade

1. VibeKit: An opensource safety layer for your coding agent. It is a universal CLI wrapper that runs Claude Code, Gemini, Codex, or any coding agent in a clean, isolated sandbox with sensitive data redaction and observability baked in.

2. Browser Echo: Captures live browser errors from web applications and sends them directly to AI coding assistants like Cursor or Claude Code for debugging. Framework-agnostic support for modern JavaScript applications.

3. Pager: An opensource AI-first Slack alternative that learns from your team's chat history to provide contextual answers and summaries. Pager focuses on three things: simple team chat, full data ownership, and AI that learns from your team.

4. Spielwerk: The TikTok for vibe-coded mini games. Create mini-games with GPT-5 by describing them in text. You can then share these games in a feed format where others can play, like, comment, remix, and compete on leaderboards.

5. Awesome LLM Apps: Build awesome LLM apps with RAG, AI agents, MCP, and more to interact with data sources like GitHub, Gmail, PDFs, and YouTube videos, and automate complex work.

Hot Takes

1. The AGI race will be between xAI and Google.

   OpenAI is turning into a "product" company. ~
   Mark Kretschmann

   
   

2. I haven't met all the startups in the current YC batch yet, but the two most impressive companies that I've seen so far are not working on AI. ~
   Paul Graham

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

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