Deschide articolul original într-un tab nou Schimbarea acestei opțiuni se aplică imediat și reîncarcă pagina.
LECTURA
Înapoi la articole →

Data Leads Future

www.dataleadsfuture.com/rss/
Vizitează site-ul

Cel mai recent articol

Ultima verificare

Urmăritori 0 urmăritori
Articole: 15

  1. From OpenSpec to AIDLC: How I Improved My Team's AI Code Quality

    (Data Leads Future)

    By this August, our team had been writing code with AI for more than half a year.

  2. How I Cut Kimi K3 Costs in OpenCode

    (Data Leads Future)

    Introduction Last week, I burned through 7 days' worth of quota in a single day while using the Kimi K3 model on Kimi's Allegreto plan.

  3. No Plugins Needed, I Built a Fully Automated Coding Loop in OpenCode

    (Data Leads Future)

    This article was last updated on July 27, 2026.

  4. Why Well-Written Prompts Are Almost Always Structured

    (Data Leads Future)

    People are arguing again about whether prompts should use HTML or Markdown.

  5. DeepSeek-V4 Can't Read Images? I Made It Read

    (Data Leads Future)

    Introduction I gotta say, DeepSeek-V4 is cheap, works great, and has a long context window.

  6. Reflection SDD: Use a Reflection Harness to Level Up Your OpenSpec Workflow

    (Data Leads Future)

    Introduction In this article, I want to walk you through how I introduced a reflection mechanism into the OpenSpec workflow inside OpenCode, and how that dramatically improved the quality of AI-generated code.

  7. How I Use OpenCode, Oh-My-OpenCode-Slim, and OpenSpec to Build My Own AI Coding Environment

    (Data Leads Future)

    This article was last updated on July 23, 2026.

  8. How to Use Agent Skills in Enterprise LLM Agent Systems

    (Data Leads Future)

    Introduction Enterprise-grade agentic systems have fallen way behind the desktop agent apps that everyone's been buzzing about lately.

  9. Advanced RedisVL Long-term Memory Tutorial: Using an LLM to Extract Memories

    (Data Leads Future)

    Introduction In this weekend note, we keep talking about how to build long-term memory for an agent with RedisVL.

  10. Build Long-Term and Short-Term Memory for Agents Using RedisVL

    (Data Leads Future)

    Introduction For this weekend note, I want to share some tries I made using RedisVL to add short-term and long-term memory to my agent system.

  11. Microsoft Agent Framework (MAF) Middleware Basics: Add Compliance Fences to Your Agent

    (Data Leads Future)

    Introduction The recent incident where Tencent’s Yuanbao AI insulted users once again shows that no matter how powerful an agent is, you must set up compliance guardrails and carefully review its inputs and outputs before going live.

  12. My Agent System Looks Powerful but Is Just Industrial Trash

    (Data Leads Future)

    This weekend note is a bit late because Phase One of my Deep Data Analyst project failed for now.

  13. Make Microsoft Agent Framework’s Structured Output Work With Qwen and DeepSeek Models

    (Data Leads Future)

    Update: After version python-1.0.0b260114, MAF made big changes to the response_format related APIs, but the official docs haven’t been updated yet.

  14. A Quick Guide to Containerizing Agent Applications with Podman

    (Data Leads Future)

    Introduction For enterprise-level agent applications, the best way to safely run code generated by agents is to use containerization.

  15. Share My LLM Prompts and Tips That Make Work and Learning Super Efficient

    (Data Leads Future)

    Disclaimer: This post contains affiliate links to Coursera.