Tutorial // DevTools
Spin Up Sandboxed Subagents with the Antigravity CLI
Google's Antigravity 2.0 CLI lets you delegate work to sandboxed subagents. A practical walkthrough of wiring it into a real dev workflow.
11 min readRead article
Field notes · 224 articles
Notes from the foundry
Practical notes on AI, business software, and the decisions behind a production build.
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AI, software, and business
Tutorial // MCP
Build an MCP Server to Connect Claude to Your Database
A practical tutorial on the Model Context Protocol: build a TypeScript MCP server that lets Claude query your database safely, with tools and guardrails.
13 min readRead article
Tutorial // Infrastructure
Self-Host a Coding LLM with vLLM
Open-weight coding models are good enough to self-host now. A practical guide to serving one with vLLM and calling it through an OpenAI-compatible API.
12 min readRead article
Tutorial // Search
Build a Semantic Search Engine with Embeddings and Qdrant
A Python tutorial: embed your data, store it in Qdrant, and run semantic search that understands meaning, then add keyword hybrid search and reranking.
12 min readRead article
Engineering // LLMs
Shipping Generative AI Features Without Breaking Production
A field guide to taking LLM-powered features from a flashy demo to a system you can trust on a Friday afternoon.
8 min readRead article
Tutorial // Voice AI
Build an AI Voice Agent with Twilio and a Realtime Model
Wire a phone number to an AI: a Node tutorial connecting Twilio Media Streams to a realtime speech model so callers can talk to your agent.
14 min readRead article
Tutorial // MCP
Build an OAuth-Secured MCP Server
Secure a Model Context Protocol server with OAuth 2.1. A TypeScript walkthrough of bearer token validation, scopes, and protecting tools.
13 min readRead article
Tutorial // Workflows
Build a Durable Multi-Step Workflow with Claude Opus 4.8
Opus 4.8 shipped with a dynamic workflow capability. Here's how to build a crash-safe, multi-step workflow that an LLM drives end to end.
13 min readRead article
Tutorial // Evals
Add an Eval Harness to Your LLM App
Stop shipping on vibes. A TypeScript tutorial for building a lightweight eval harness: datasets, scorers, an LLM-as-judge, and a CI gate.
12 min readRead article
Tutorial // DevTools
Build a Code Completion Backend with Codestral
Codestral is Mistral's model built for code. Here's how to stand up a fill-in-the-middle code completion backend you can wire into an editor.
11 min readRead article
Tutorial // Agents
Build a Multi-Agent Workflow with LangGraph
A Python tutorial: model a researcher, writer, and reviewer as a LangGraph state machine, with shared state, conditional edges, and a review loop.
14 min readRead article
Tutorial // DevTools
Build an AI Code Review Bot for Your Pull Requests
A TypeScript tutorial: a GitHub Action that sends your PR diff to Claude and posts a focused, useful review comment, without the noise.
13 min readRead article
AI // Retrieval
RAG Is Not a Silver Bullet · It's a Retrieval Problem
Why most retrieval-augmented generation systems underperform, and the unglamorous fixes that actually move the needle.
6 min readRead article
Insights // Hiring
How to Evaluate an AI Development Partner
A practical checklist for CTOs vetting an AI development agency, covering evals, IP, security, cost, and the questions that separate builders from demo shops.
9 min readRead article
Insights // Architecture
Vendor Lock-In with LLMs: How to Keep Providers Swappable
Prices change, models get deprecated, and providers face export limits overnight. How to architect LLM features so you can switch providers without a rewrite.
9 min readRead article
Insights // Cost
Cutting LLM Cost 50% Without Wrecking Quality
A practical playbook for bringing down LLM spend: model routing, prompt caching, context discipline, and batching, with the quality tradeoffs spelled out.
9 min readRead article
Insights // Cost
What It Really Costs to Run an LLM Feature in Production
Token bills are only part of it. The true cost of an LLM feature: inference, retrieval infra, evals, monitoring, and the engineering time nobody budgets for.
10 min readRead article
Insights // Infrastructure
Should We Self-Host an LLM? A Cost and Control Framework
Self-hosting an open-weight model can save money or quietly cost more. A CTO's framework for deciding based on volume, privacy, control, and the true total cost.
9 min readRead article
Insights // Architecture
RAG vs Fine-Tuning vs Long Context: Which, and When
Three ways to get a model to use your data, often confused. When retrieval, fine-tuning, or a big context window is the right call, and when to combine them.
10 min readRead article
Insights // Strategy
When AI Is the Wrong Tool (and Cheaper Options Win)
Not every problem needs an LLM. A candid look at where rules, search, or plain software beat AI, and how to tell before you spend the budget.
8 min readRead article