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.
OpenAI's $852B Valuation: What the Largest Funding Round in History Means for Developers
OpenAI closed a $122B funding round at $852B valuation on March 31, 2026 - the largest private financing in history. We analyze the product moat (GPT-5.4, Codex), competitive landscape, developer impact, the AI bubble question, and what teams should do now.
How Lushbinary Deployed EmDash CMS on AWS for the WidelAI Blog
A case study on deploying Cloudflare's EmDash CMS on AWS EC2 with Docker, Terraform, GitHub Actions CI/CD, and S3-based SQLite backups - all for about $1/month incremental cost.
Gemma 4 + MCP + AWS: Build Self-Hosted Agentic AI with Function Calling & Tool Use
Complete guide to connecting Gemma 4's native function calling to MCP servers on AWS. Covers the gemma-mcp package, custom MCP server development, EC2/SageMaker/Bedrock AgentCore deployment, multi-tool agent architecture, and production cost optimization.
Gemma 4 vs Llama 4 vs Qwen 3.5: Open-Weight Model Comparison for Production in 2026
Three open-weight model families, one decision. We compare Gemma 4, Llama 4, and Qwen 3.5 across benchmarks, licensing, inference speed, memory, multimodal capabilities, and production readiness with a clear decision framework.
How to Fine-Tune Gemma 4 with LoRA & QLoRA: Complete Guide for Custom Models
Fine-tune any Gemma 4 model (E2B to 31B) with LoRA and QLoRA using Hugging Face, Unsloth, or Keras. Covers dataset prep, hyperparameter tuning, evaluation, and deploying your custom model to production.
Deploy Gemma 4 on AWS: EC2, SageMaker & Inferentia Cost Comparison Guide
Production-ready Gemma 4 deployment on AWS. We compare EC2 GPU instances, SageMaker endpoints, and Inferentia2 chips with real cost breakdowns, auto-scaling strategies, and optimization tips for each Gemma 4 model size.
Build an AI Agent with Gemma 4: Function Calling, Tool Use & MCP Integration
Gemma 4 ships with native function calling via 6 special tokens. We show how to build a production AI agent with structured tool use, MCP server integration, multi-step reasoning chains, and real-world agentic workflows.
Gemma 4 on Edge: Running Multimodal AI on Mobile, Raspberry Pi & IoT Devices
Gemma 4 E2B and E4B bring multimodal AI (text, image, audio) to phones and edge devices with 128K context. We cover on-device deployment with MediaPipe, LiteRT, MLX, quantization strategies, and real-world latency benchmarks.
Using OpenClaw with Gemma 4: Complete Local AI Agent Setup Guide
Run OpenClaw with Google's Gemma 4 via Ollama for a fully self-hosted, zero-cost AI agent. Covers model selection, configuration, function calling, custom skills, and performance tuning.
How to Develop an EmDash Plugin: Local Environment Setup, Testing & Deployment Guide
Step-by-step guide to building EmDash (Cloudflare) plugins from scratch. Covers local environment setup with SQLite/workerd, plugin scaffolding, capability manifests, lifecycle hooks, testing with miniflare, debugging, and deploying to Cloudflare Workers.
Google Gemma 4 Developer Guide: Benchmarks, Architecture & Local Deployment
Google DeepMind's Gemma 4 ships 4 open-weight models (2.3B–31B) under Apache 2.0 with 256K context, native multimodal, and function calling. Full benchmark breakdown, architecture deep-dive, and local setup guide.
Cloudflare EmDash Developer Guide: Setup, Plugins, Themes & Deployment
Everything you need to get started with EmDash, Cloudflare's open-source TypeScript CMS. Covers installation, sandboxed plugin development, Astro 6 theming, WordPress migration, and deployment on Cloudflare Workers or Node.js.
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