Sohel Patel

Sohel Patel is the founder and editor of GAVIHOS, an independent technology publication covering artificial intelligence, developer tools, cloud infrastructure, cybersecurity, and system design. He writes technical explainers, architecture guides, and industry analysis to help developers understand complex technologies through practical, research-driven content.

Google Cloud Closes the Data Silo Gap: Datastream Meets Dataplex Universal Catalog

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Google Cloud Closes the Data Silo Gap: Datastream Meets Dataplex Universal Catalog

On July 2, 2026, Google Cloud announced that Datastream, its change-data-capture and replication service, now integrates directly with Dataplex Universal Catalog, automating the metadata sync between the two. In practical terms: as data flows through Datastream pipelines, Dataplex Universal Catalog registers and tracks that data automatically, instead of requiring a separate manual cataloging step. This … Read more

What Is a Data Catalog? Complete Guide to Metadata Management and Data Lineage

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What Is a Data Catalog? Complete Guide to Metadata Management and Data Lineage

Most organizations that have been collecting data for more than a few years run into the same problem: nobody actually knows what data they have. A table exists in a warehouse somewhere, a stream flows through a pipeline nobody remembers building, and three different teams keep separate, slightly different copies of what should be the … Read more

Anthropic Restores Claude Fable 5 After Export Controls Lifted

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Anthropic Restores Claude Fable 5 After Export Controls Lifted

On July 1, 2026, Anthropic published “Redeploying Claude Fable 5,” confirming that US Commerce Department export controls on its Fable 5 and Mythos 5 models — in place since June 12, 2026 — had been lifted, and that Fable 5 was being redeployed globally. This is a fast-moving story GAVIHOS has been tracking carefully. A … Read more

AI Export Controls Explained: How Government Policy Shapes Model Access

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AI Export Controls Explained: How Government Policy Shapes Model Access

Most discussions of what determines whether you can use a given AI model focus on price, capability, or platform availability. There is a fourth factor that increasingly matters just as much: government policy. In some cases, a model that is technically ready and commercially available can become unavailable — or have its usage capped — … Read more

Anthropic Claude Science: Inside the AI Workbench Built for Researchers

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Anthropic Claude Science: Inside the AI Workbench Built for Researchers

Introduction On June 30, 2026, Anthropic launched Claude Science, an AI workbench positioned specifically for scientific research, at an event the company called “The Briefing: AI for Science.” The announcement included case studies involving the pharmaceutical company Novo Nordisk and the biomedical research organization the Allen Institute, along with a research-credits grant program for institutions … Read more

What Is AI for Science? Complete Guide to AI Research Workbenches

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What Is AI for Science? Complete Guide to AI Workbenches

Introduction Most AI products built for professional use are general-purpose: a chat assistant, a coding agent, a writing tool. “AI for science” is different. It describes a growing category of AI systems purpose-built for the specific workflows of scientific research — reading and synthesizing literature, generating and testing hypotheses, analyzing experimental data, and helping researchers … Read more

Vercel Ship 2026: The Agent Platform Stack That Changes How Software Is Deployed

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Vercel Ship 2026: The Agent Platform Stack That Changes How Software Is Deployed

Introduction In June 2026, Vercel ran two Ship events — London on June 17, New York City on June 30 — and the core message of both was the same: software deployment has structurally changed. Six months ago, fewer than 3% of Vercel deployments were triggered by coding agents. As of the NYC event, that … Read more

Vercel AI SDK Complete Guide: How to Build AI Applications in TypeScript

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Vercel AI SDK Complete Guide: How to Build AI Applications in TypeScript

Introduction Most AI application tutorials fall into one of two categories: Python notebooks that stop at the demo, or raw fetch calls to an LLM API that stop before streaming works. Neither is where production JavaScript applications live. The Vercel AI SDK is a TypeScript library that handles the gap between a raw LLM API … Read more

Prompt Engineering Complete Guide: From Basics to Advanced Techniques

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Prompt Engineering Complete Guide: From Basics to Advanced Techniques

Introduction Prompt engineering is the practice of designing inputs to language models to reliably produce useful outputs. That definition sounds simple. The implications are not. The same model given two different prompts can produce dramatically different outputs — one correct and useful, the other wrong and confidently stated. No code change, no fine-tuning, no infrastructure … Read more

LangGraph Explained: Complete Guide to Multi-Agent Orchestration

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LangGraph Explained: Complete Guide to Multi-Agent Orchestration

Introduction Most AI tutorials show you how to make a single LLM call. Real applications need more: multiple steps, conditional branching, tool use, state that persists across turns, and the ability to pause for human review before continuing. That is the gap LangGraph fills. LangGraph is a Python library for building stateful, multi-step AI workflows. … Read more