Goatfied blog

Benchmarks, deployment notes, and hard-won patterns

Developer-to-developer writing. No fluff. Just what worked, what failed, and what shipped.

benchmarks

Context window budgeting under token pressure

Learn how to manage LLM context windows when refactoring large codebases without hitting token limits that cause agents to forget constraints.

2026-06-1211 min read

review

Cursor vs Copilot vs Continue vs Cody vs Windsurf vs Codeium: an engineering evaluation framework

A practical framework for evaluating AI coding tools based on context retrieval, IDE integration, latency, and cost rather than feature checklists.

2026-06-0210 min read

Engineers comparing AI coding assistants on pull-request telemetry

benchmarks

Goatfied vs Cursor vs GitHub Copilot: how to benchmark them on real PR tasks

A reproducible framework for benchmarking Goatfied, Cursor, and GitHub Copilot on real pull-request tasks — the metrics that matter, the harness to run, and how to read the results.

2026-05-2910 min read

A control loop diagram representing an autonomous coding agent

agent-loop

The Goatfied agent loop: how we ship code that compiles first try

Inside Goatfied's autonomous agent loop — plan, constrain, edit, validate, retry — and why a compile-first gate is what makes AI-written code trustworthy in real repositories.

2026-05-279 min read

A large codebase being refactored across many files

refactoring

Multi-file refactors with Goatfied: case studies from real codebases

How Goatfied handles cross-repo, multi-file refactors — renaming core types, extracting modules, and changing signatures across dozens of call sites — without breaking the build.

2026-05-259 min read

benchmarks

Debugging AI-generated code with checklists

Learn how to build systematic debugging checklists that catch common failure patterns in AI-generated code before deployment to production systems.

2026-05-2313 min read

deployment

Self-hosted AI coding assistants: a complete Goatfied deployment guide

A practical guide to self-hosting Goatfied — architecture, model routing, network and data controls, and the tradeoffs between self-hosted and managed for security-sensitive teams.

2026-05-2310 min read

open-source

Why we open-sourced Goatfied (and what we kept proprietary)

The reasoning behind Goatfied's open-source strategy — what's open and why, what stays proprietary, and how we think about trust, lock-in, and telemetry for an AI coding tool.

2026-05-218 min read

open-source

Fine-tuning vs RAG for code assistants: a production playbook

Fine-tuning bakes code patterns into model weights while RAG retrieves fresh context at inference time; production code assistants typically need both approaches.

2026-05-1510 min read