Opensource Alternative to GitHub Copilot

Today’s top AI Highlights:

1. Open-source and on-premises alternative to GitHub Copilot

2. Build, configure, and deploy autonomous AI Agents in your browser

3. Some interesting updates in AI voice tech today

4. DeepSeek reinforcement fine-tuning as-a-service

& so much more!

Read time: 3 mins

AI Tutorials

LLM App

Finding the perfect property involves sifting through countless listings across multiple websites, analyzing location trends, and making informed investment decisions. For developers and real estate professionals, automating this process can save hours of manual work while providing deeper market insights.

In this tutorial, we'll build an AI Real Estate Agent that automates property search and market analysis. It helps users find properties matching their criteria while providing detailed location trends and investment recommendations. This agent streamlines the property search process by combining data from multiple real estate websites and offering intelligent analysis.

Tech Stack:

• Firecrawl's Extract Endpoint to collect structured data from websites

• Agno (formerly Phidata) for building the AI agent

• OpenAI GPT-4o as the LLM

• Streamlit for a clean, interactive web interface.

AI Workflow

This workflow combines Grok-3's image generation capabilities with Pika AI's video animation features to create stunning transformation videos that show the evolution from vintage to modern aesthetics. Perfect for photo restorations, concept visualizations, or creative storytelling.

We share hands-on tutorials like this 2-3 times a 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

Self-Hosted AI Coding Assistant in Your IDE 🔒💻

Tabby is a self-hosted AI coding assistant for those who need local control without sacrificing capabilities. This open-source alternative to GitHub Copilot runs on consumer-grade GPUs and requires no database or cloud services.

With a comprehensive feature set including code completion, inline chat, and an answer engine for coding questions, Tabby functions as an AI pair programmer that stays completely within your infrastructure. Tabby integrates with popular IDEs like VS Code while keeping your code and queries on your infrastructure. Its OpenAPI interface makes it easy to incorporate into existing development environments.

Key Highlights:

1. Capabilities - Combines multiple AI services in one tool: real-time code completion using the Fill-in-the-Middle (FIM) approach, an inline answer engine for coding questions, and AI chat functionality that works like having an AI pair programmer directly in your editor.

2. Context Management - Connects to both source code repositories (Git, GitHub, GitLab) and developer documentation through data connectors called Context Providers. This allows Tabby to understand your project's specific codebase and reference materials.

3. IDE Integration - Works with Visual Studio Code, IntelliJ platforms, and Vim/NeoVim through dedicated extensions. Tabby's adaptive caching strategy ensures completions arrive in less than a second with accurate streaming and cancellation handling.

4. Local Deployment - Get started in just one minute with Docker, supporting various model sizes from 1B to 22B parameters depending on your GPU capabilities. The self-contained architecture eliminates dependency on external services while maintaining high-quality AI assistance.

5. Flexible Model Configuration - Choose from a wide range of open models including StarCoder, CodeLlama, Qwen, and others with Apache 2.0 or similar licenses. Separate configurations for completion, chat, and embedding models let you optimize for your specific requirements.

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AI Agents that Plan, Execute, and Learn from Tasks 💡🧑‍🔧🧠

AgentGPT is an opensource platform for creating, configuring, and deploying autonomous AI agents directly within your browser without coding expertise. You can name their AI agent, assign it a goal, and watch as it plans, executes, and learns from tasks.

The platform uses chained calls to LLMs to power agents that can understand objectives, implement strategies, and deliver results with minimal human intervention. AgentGPT is open-source and can be run both locally and in the cloud.

Key Highlights:

1. Quick Setup - AgentGPT offers multiple installation options including a Docker setup that handles dependencies and a non-Docker alternative using local SQLite, with detailed instructions for different operating systems.

2. Advanced Prompting - The platform implements sophisticated techniques like Plan and Solve and ReAct to enhance agent reasoning, helping them break down complex goals and improve task execution.

3. Long-Term Memory - AgentGPT uses Weaviate as a vector database to store task history, allowing agents to retrieve relevant past information and maintain context over extended operations.

4. Multilingual Support - The platform includes translation capabilities across numerous languages, using i18next for frontend interface translation and leveraging AI models for backend responses.

5. Authentication Options - The system provides both development-mode authentication for testing and OAuth integration with providers like Google, GitHub, and Discord for secure production environments.

Quick Bites

Today’s roundup is, interestingly, all about AI and voice — better text-to-speech, sharper transcription, and more natural interactions:

• Hume AI has launched Octave, a groundbreaking text-to-speech model that's more like a digital voice actor than a reader. Octave understands context and can create voices from prompts, act out characters, and modify emotion and style based on instructions. In blind comparison studies, Octave outperforms ElevenLabs’ model across audio quality, naturalness, and voice matching. Available on their platform and via API, voice cloning capabilities coming soon.
  

• ElevenLabs has released Scribe, a new speech-to-text model delivering benchmark-topping accuracy in 99 languages. It can transcript languages that are often neglected by other ASR models like Cantonose and Gujarati. Scribe provides structured transcripts with speaker diarization, precise timestamps, and even handles non-speech events. Accessible via API and UI, at $0.40/hour, with an additional 50% discount available for the next 6 weeks.
  

• Perplexity has launched a new voice mode which brings a more conversational experience to its AI search engine. The latest iOS update features six more natural-sounding voices and an interactive interface with shifting dots that respond to voice and touch. Coming soon to Android and Mac app.
  

• After OpenAI’s Advanced Voice Mode, this one’s probably the most “human” an AI voice assistant has sounded. AI startup Sesame has unveiled its Conversational Speech Model (CSM), pushing beyond robotic tones to achieve genuine "voice presence." They have focused on crucial elements like emotional intelligence, contextual awareness, and natural conversational dynamics. You can try the demo, it’s quite impressive. Sesame plans to open-source its models under Apache 2.0 soon.

Tools of the Trade

1. Augento: Fine-tunes AI agents using reinforcement learning based on your feedback, replacing tedious prompt engineering. Just swap your LLM connector URL, give feedback in their UI, and let Augento continuously improve your model’s performance.

2. Truffle AI: Provides plug-and-play AI agents accessible via simple APIs. You can easily integrate AI agents into any platform—like WhatsApp for customer support or Slack for analytics—without worrying about managing memory, state, or external tools.

3. RAGIT (rag-it): A git-like software that turns your local files into a searchable knowledge-base that can be easily shared. Instead of vector searches, it uses AI-generated keywords and TF-IDF for retrieval to improve relevance and accuracy in retrieving information.

4. AstrBot: A loosely coupled, asynchronous chatbot and development framework framework for building and deploying AI-powered chatbots across multiple messaging platforms. It provides robust LLM integration, agent capabilities, a plugin system, and a web dashboard for managing and extending chatbot functionality.

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

Hot Takes

1. I don't think many people understand what is happening in software development right now.
   I have a few friends with computer science degrees. Yesterday I asked them how they use AI. One said he uses ChatGPT “a little bit.” The others criticized AI and basically were in denial of how good it's become.
   Riddle me this:
   How does a guy who looked at his first line of code last year build an app in a week, by himself, that would’ve required a whole team and several “sprints” a few years ago?
   I sit at dinner with friends and family. All chatter about politics and pop culture. I bring up AI and get blank stares. Not one person has even heard of Claude.
   The average person has barely used AI and has no idea what is happening.
   I literally can't sleep at night.
   Too many ideas. Too many opportunities.
   I’m so excited. ~
   Nathan Covey

   
   

2. Hot take but reasoning models will quickly saturate. If you have a gap in your knowledge, you can’t reason your way to an answer no matter how many tokens you generate ~
   anton

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

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