Blog
Updates, engineering deep-dives, and guides from the Stoneforge team.
Why AI Coding Agents Waste Half Their Context Window
AI coding agents burn 20-40% of their context window on codebase exploration. Structured documentation cuts orientation from 20 tool calls to 3.
Best AI Coding Agents in 2026
An honest comparison of the best AI coding agents in 2026: Claude Code, Codex CLI, Cursor, Devin, GitHub Copilot, OpenCode, Cline, Aider, and Stoneforge.
MCP and AI Agents: How Model Context Protocol Changes Coding
What MCP is, why it matters for AI coding agents, and how to use MCP servers in practice. Practical examples with real tools.
Open Source AI Coding Agents: The Complete List
Every notable open-source AI coding agent in 2026: features, GitHub stars, license, and what each does best. Updated for March 2026.
Run Multiple AI Coding Agents in Parallel
A practical guide to running multiple AI coding agents in parallel. Covers isolation, dependency ordering, merge conflicts, and step-by-step setup.
Using AI for Coding: A Practical Guide
How developers actually use AI for coding in 2026. From autocomplete to agents to orchestration, with practical advice for each level.
Claude Code Teams vs Self-Hosted: What Devs Need to Know
Compare Claude Code Teams with self-hosted alternatives like Stoneforge. Honest breakdown of cost, privacy, multi-agent support, and flexibility.
The Case for Multi-Agent Software Development
Multi-agent software development breaks through the single-agent ceiling with parallel AI agents, orchestration, and role specialization.