A Coding Guide to Build a Scalable Multi-Agent System with Google ADK
In this tutorial, we explore the advanced capabilities of Google’s Agent Development Kit (ADK) by building a multi-agent system equipped with specialized roles and tools. We guide you through creating…
MiroMind-M1: Advancing Open-Source Mathematical Reasoning via Context-Aware Multi-Stage Reinforcement Learning
Large language models (LLMs) have recently demonstrated remarkable progress in multi-step reasoning, establishing mathematical problem-solving as a rigorous benchmark for assessing advanced capabilities. While proprietary models like GPT-4o and Claude…
Is Vibe Coding Safe for Startups? A Technical Risk Audit Based on Real-World Use Cases
Introduction: Why Startups Are Looking at Vibe Coding Startups are under pressure to build, iterate, and deploy faster than ever. With limited engineering resources, many are exploring AI-driven development environments—collectively…
Rubrics as Rewards (RaR): A Reinforcement Learning Framework for Training Language Models with Structured, Multi-Criteria Evaluation Signals
Reinforcement Learning with Verifiable Rewards (RLVR) allows LLMs to perform complex reasoning on tasks with clear, verifiable outcomes, with strong performance in mathematics and coding. However, many real-world scenarios lack…
Building a Comprehensive AI Agent Evaluation Framework with Metrics, Reports, and Visual Dashboards
class AdvancedAIEvaluator: def __init__(self, agent_func: Callable, config: Dict = None): self.agent_func = agent_func self.results = [] self.evaluation_history = defaultdict(list) self.benchmark_cache = typically)\b’], ‘race’: [r’\b(people of \w+ are)\b’], ‘religion’: [r’\b(\w+ people…
Implementing Self-Refine Technique Using Large Language Models LLMs
This tutorial demonstrates how to implement the Self-Refine technique using Large Language Models (LLMs) with Mirascope, a powerful framework for building structured prompt workflows. Self-Refine is a prompt engineering strategy…
It’s Okay to Be “Just a Wrapper”: Why Solution-Driven AI Companies Win
In today’s rapidly evolving AI landscape, many founders and observers find themselves preoccupied with the idea that successful startups must build foundational technology from scratch. Nowhere is this narrative more…
Safeguarding Agentic AI Systems: NVIDIA’s Open-Source Safety Recipe
As large language models (LLMs) evolve from simple text generators to agentic systems —able to plan, reason, and autonomously act—there is a significant increase in both their capabilities and associated…
9 Open Source Cursor Alternatives You Should Use in 2025
The demand for AI-powered coding tools has exploded—with open-source alternatives now rivaling commercial solutions like Cursor in features, flexibility, and privacy. If you’re seeking a powerful, cost-effective, and open-source code…
Amazon Develops an AI Architecture that Cuts Inference Time 30% by Activating Only Relevant Neurons
Amazon researchers developed a new AI architecture that cuts inference time by 30% by selecting only task-relevant neurons, similar to how the brain uses specialized regions for specific tasks. This…









