Rahul Kolekar

Hi, I’m Rahul Kolekar

AI Engineer – I build practical AI/ML tools, agentic workflows, and production-style RAG systems. Sharing code-first guides and open-source projects.

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Systems & MLOps

OpenAI on AWS and Codex on Bedrock: What It Means for Enterprise AI Teams

Learn what OpenAI frontier models and Codex on AWS/Amazon Bedrock mean for enterprise AI adoption, governance, procurement, architecture, security, MLOps, and developer workflows.

Deep Learning: Generative AI

AI Coding Assistants for Teams: GitHub Copilot Enterprise vs. Cursor vs. JetBrains AI (2026)

A 3,500-word review of AI coding tools for engineering teams. We compare GitHub Copilot, Cursor (AI Editor), and JetBrains AI on security, codebase indexing, and productivity.

Building Agentic RAG Systems with LangGraph: The 2026 Guide

Date: January 3, 2026 Category: Artificial Intelligence / Engineering Reading Time: 15 Minutes

Gemini Pricing in 2026: Gemini API vs Vertex AI (Tokens, Batch, Caching, Imagen, Veo)

Updated Jan 2026. A practical breakdown of Gemini pricing across the Gemini API (AI Studio) and Vertex AI: token rates, Batch discounts, context caching, grounding, Imagen, Veo, embeddings, and cost examples.

Large Language Models

Claude Opus 4.8 for Coding Agents: What Actually Changed?

A practical engineering review of Claude Opus 4.8 for coding agents, long-running workflows, tool use, pricing, architecture, risks, and how it compares with Opus 4.7 and GPT/Gemini-style alternatives.

Gemini Pricing in 2026: Gemini API vs Vertex AI (Tokens, Batch, Caching, Imagen, Veo)

Updated Jan 2026. A practical breakdown of Gemini pricing across the Gemini API (AI Studio) and Vertex AI: token rates, Batch discounts, context caching, grounding, Imagen, Veo, embeddings, and cost examples.

OpenAI API Pricing in 2026: A Practical Guide (Models, Tokens, Tiers, Tools)

A practical breakdown of OpenAI API pricing as of Jan 2026: token costs by model, Batch/Flex/Priority tiers, images, audio, video, tools, and examples.

Deep Learning

Multimodal Agents in 2026: From Chatbots to Vision-Audio-Action Systems

Learn how multimodal AI agents are evolving beyond chatbots into systems that reason over images, video, audio, documents, browsers, and UI actions. Includes architecture, use cases, evals, risks, and a practical build plan.

Google I/O 2026 AI Announcements Explained for Developers

A practical developer-focused guide to Google I/O 2026 AI announcements, including Gemini 3.5 Flash, Gemini Omni, Antigravity, Gemini Spark, Search agents, Android, YouTube, and app architecture ideas.

How To Build Your First Production Ready Agent With OpenAI’s Agents SDK And Responses API (2026 Guide)

How To Build Your First Production Ready Agent With OpenAI’s Agents SDK And

Z-Image (造相): a fast, 6B single-stream diffusion transformer you can run locally (with a full code guide)

Meta description: Z-Image is Tongyi-MAI’s efficient 6B image generation family built on a Scalable Single-Stream DiT (S3-DiT). This post explains what it is,

Gemini Pricing in 2026: Gemini API vs Vertex AI (Tokens, Batch, Caching, Imagen, Veo)

Updated Jan 2026. A practical breakdown of Gemini pricing across the Gemini API (AI Studio) and Vertex AI: token rates, Batch discounts, context caching, grounding, Imagen, Veo, embeddings, and cost examples.

OpenAI API Pricing in 2026: A Practical Guide (Models, Tokens, Tiers, Tools)

A practical breakdown of OpenAI API pricing as of Jan 2026: token costs by model, Batch/Flex/Priority tiers, images, audio, video, tools, and examples.

Deep Learning
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Systems & MLOps

AI/ML Featured

Multimodal Agents in 2026: From Chatbots to Vision-Audio-Action Systems

Learn how multimodal AI agents are evolving beyond chatbots into systems that reason over images, video, audio, documents, browsers, and UI actions. Includes architecture, use cases, evals, risks, and a practical build plan.

AI/ML Research