If you’re late to Vibe Coding, check out Matt’s video for a run-down on the latest 👇 https://t.co/C43ZoyusYJ
— Replit ⠕ (@Replit) 29 avril 2025
If you’re late to Vibe Coding, check out Matt’s video for a run-down on the latest
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Vibe Coding Latest Updates: Matt’s Video Guide
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Assembling Agents and Tasks into a Crew
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6. Assembling the Crew Finally, combine agents & tasks into a Crew:
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Defining Tasks for Stock Analysis and Report Generation
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5. Defining the Tasks Next, the tasks: Analysis Task: Instructs the Analyst agent to use the stock_data_tool, analyze metrics (price, 52wk, P/E etc.), and output findings. Report Task: Tells the Writer agent to structure the analysis into a formatted report.
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Creating Stock Analyst and Report Writer Agents with Llama-4-Maverick
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4. Creating the Agents We define two agents, both powered by Llama-4-Maverick from Sambanova: – Stock Analyst: Role: Wall Street Analyst. Goal: Analyze {symbol} using the YFinance tool for live data. – Report Writer: Role: Report Specialist. Goal: Craft a professional report.
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Custom YFinance Tool for CrewAI Agents Live Market Data
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3. Custom YFinance Tool YFinance is a great Python library for market data. To give our agents direct access, we create a custom CrewAI tool using BaseTool. This ensures agents fetch live data, not rely on old knowledge.
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Setup API Key for SambaNova AI Llama-4 Maverick Inference
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2. Setup: API Key Get your API key from @SambaNovaAI to use Llama-4 Maverick on the world's fastest AI inference. Set it as an environment variable: Get the API key here: http://
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Building an AI Stock Analysis Agent with CrewAI and Llama 4
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1. Here’s a quick overview of what we’ll be building:
— Sumanth (@Sumanth_077) 29 avril 2025
Input a query, and the Agent delivers a full stock analysis, including an Executive Summary and Performance report.
Tech stack:@crewAIInc for multi-agent orchestration@SambaNovaAI’s fast Llama 4 engine pic.twitter.com/y0b8Hy7fB81. Here’s a quick overview of what we’ll be building: Input a query, and the Agent delivers a full stock analysis, including an Executive Summary and Performance report. Tech stack: @crewAIInc for multi-agent orchestration @SambaNovaAI
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Building Financial Agent Stack with Llama 4 Maverick at LlamaCon2025
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With #LlamaCon2025 happening today and @Meta unveiling major updates, it’s the perfect time to dive in. We’ll be using @SambaNovaAI
's high-performance Llama 4 Maverick model to build a financial agent stack. You can read about it here: https://
fnf.dev/42nLcAD Let's dive in! -
First Document Scraper Built with Python for Research
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Last night I built my first working document scraper! I know this isn't *that* impressive. But having learned Python *very* recently, it felt good to finally see the benefits of running scripts to help with research for a story I'm working on.
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Using Qwen3 LLM for automated Python script generation
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4. Real-World Coding:
— God of Prompt (@godofprompt) 29 avril 2025
Qwen3 wrote a clean Python script to scrape headlines from the New York Times and save them into a CSV.
Fully working, no bugs, no missing imports.
It even suggested adding error handling without being asked. pic.twitter.com/3ZZ1mpjRSA4. Real-World Coding: Qwen3 wrote a clean Python script to scrape headlines from the New York Times and save them into a CSV. Fully working, no bugs, no missing imports. It even suggested adding error handling without being asked.