Insights on AI, Cloud
& Modern Engineering
We write about AI agents, cloud architecture, cost optimization, and the tools we use every day to build software.
Running Frontier AI Models Locally in 2026: Ollama, vLLM & Consumer Hardware Guide
Gemma 4 runs at 85 tokens/sec on consumer GPUs. DeepSeek V4-Flash needs just 24GB VRAM. We cover Ollama, vLLM, SGLang, quantization (GGUF, GPTQ, AWQ), hardware requirements, and cost comparisons for running open-weight models locally vs cloud APIs.
AI-Native SaaS Architecture in 2026: Patterns, Stack & Cost Guide for Developers
Every new SaaS product ships with AI features by default. We cover the architecture patterns (RAG, agents, embeddings), recommended stack (Next.js + Vercel AI SDK + vector DB), cost modeling, and how to avoid the common pitfalls of building AI-native applications.
Claude + Blender: Official MCP Connector for AI-Powered 3D Modeling
Anthropic officially launched a Blender connector for Claude AI on April 28, 2026. This guide covers setup, capabilities, workflow examples, and how to integrate AI-driven 3D modeling into production pipelines using the Model Context Protocol.
OpenAI Flagship Models on AWS: GPT-5.5, Codex & Managed Agents on Amazon Bedrock
OpenAI's GPT-5.5, GPT-5.4, Codex, and Managed Agents are now available on Amazon Bedrock in limited preview. Backed by a $50B Amazon investment, this guide covers enterprise security, the Stateful Runtime Environment, pricing, and architecture patterns for AWS-native teams.
Amazon Bedrock AgentCore CLI & Managed Harness: Deploy AI Agents in 3 API Calls
AWS just shipped a managed agent harness and CLI for Amazon Bedrock AgentCore that lets you stand up production AI agents with 3 API calls - no orchestration code needed. We cover the CLI setup, harness architecture, prebuilt coding skills, pricing, and real-world deployment patterns.
AWS Interconnect Multicloud GA: Private Connectivity to Google Cloud & Beyond
AWS Interconnect - multicloud is now generally available, offering managed private Layer 3 connectivity between AWS and Google Cloud with no data transfer charges. Azure and OCI support coming later in 2026. We cover architecture, pricing, setup, and when to use it vs Direct Connect or VPN.
Amazon Quick Desktop App: The AI Assistant That Works Across All Your Apps
Amazon just launched a native desktop app for Quick-a proactive AI assistant that connects to 40+ apps (Google Workspace, Microsoft 365, Salesforce, Zoom), builds a personal knowledge graph, and starts free with no AWS account required.
Cursor SDK Developer Guide: Build Programmatic AI Agents with TypeScript
Cursor just released the @cursor/sdk - a TypeScript package that gives you programmatic access to the same agent runtime powering the Cursor IDE. We cover installation, execution modes, Composer 2 pricing, the full harness (MCP, skills, hooks, subagents), real-world use cases, and how it compares to Claude Code SDK and OpenAI Codex.
Claude Mythos vs GPT-5.5: Benchmarks, Pricing & Which Model Wins
Claude Mythos scores 93.9% on SWE-bench but is locked behind Project Glasswing. GPT-5.5 scores 88.7% and is live today. We compare every benchmark, break down pricing, and give you a practical decision framework for choosing the right model.
GPT-5.5 for Enterprise: Automating Knowledge Work, Computer Use & Multi-App Workflows
GPT-5.5 scores 84.9% on GDPval (44 knowledge-work occupations), 78.7% on OSWorld-Verified (autonomous desktop operation), and 98.0% on Tau2-bench Telecom. We break down what these benchmarks mean for enterprise automation, the super-app vision, and how to plan your migration from GPT-5.4.
GPT-5.5 Codex Integration: Building Autonomous Coding Agents with Spud
GPT-5-Codex pairs GPT-5.5's retrained base with specialized coding optimization. We cover the Codex SDK, Dynamic Reasoning Time (up to 7+ hours), SWE-Bench Pro (58.6%), Terminal-Bench 2.0 (82.7%), multi-agent teams, and cost optimization strategies for autonomous coding workflows.
GPT-5.5 Omnimodal API Guide: Building Apps with Native Text, Image, Audio & Video
GPT-5.5 is natively omnimodal - trained from scratch with text, images, audio, and video in a single system. We cover the API architecture, gpt-image-2 ($5-$30/1M tokens), gpt-realtime-1.5 ($32-$64/1M tokens), cross-modal workflows, and production integration patterns.
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