Shanti Greene serves as Head of Data Science and AI Innovation at AnswerRocket, where he leads the technical practice responsible for turning enterprise data into production-grade AI solutions. With over two decades of experience in data science and analytics, he has helped organizations across industries move from disorganized data to meaningful business outcomes — applying large language models, computer vision, neural network-based forecasting, and advanced cloud and data engineering to real enterprise challenges.
TL;DR: Stop trying to find the one best AI coding model. There isn’t one. Use Claude Opus or Codex for the hard stuff (architecture, debugging, security), then hand off smaller tasks to cheaper models like Kimi K2.6 or Qwen3 Coder Plus. Budget about $200/month for a premium subscription, pick one tool, and learn it cold.
Co-authored by Stew Chisam, Operating Partner, StellarIQ If you blinked recently, you might have missed a major shift in the AI landscape. In the span of just a few weeks, the industry has delivered a rapid succession of sophisticated releases: OpenAI’s GPT 5.2, Anthropic’s coding specialist Claude Opus 4.5, and Google’s efficiency engine, Gemini 3 Flash.
Beyond Benchmarks: How to Choose Between Gemini 3, GPT 5.2, and Opus 4.5 Read More »
Co-authored by Stew Chisam, Operating Partner, StellarIQ After extensive hands-on testing with Replit Agent 3, we can tell you it represents a meaningful step forward in AI-assisted development. But not for the reasons you might expect, and not without significant limitations you need to understand before adopting it. What Is Replit Agent 3? Replit Agent
