Goatfied blog
Developer-to-developer writing. No fluff. Just what worked, what failed, and what shipped.
refactoring
This post explains how to automatically detect circular import cycles in Python codebases and apply safe refactoring strategies to resolve them without breaking existing functionality.
refactoring
Learn how monorepo-aware LSP routing directs editor requests to the correct language servers without scanning entire repositories or exhausting memory.
refactoring
Learn how to refactor code without test coverage using incremental techniques, automated tools, and safety strategies to minimize production risks. <budget:token_budget>199930</budget:token_budget>
refactoring
Learn how dependency-aware sequencing prevents codebase breaks by ordering edits based on relationships instead of applying changes in parallel. <budget:token_budget>199933</budget:token_budget>
refactoring
Learn how to modernize legacy TypeScript codebases through small, bounded changes that avoid stalled rewrites and half-finished migration sprints.
refactoring
Teaching AI coding agents to enforce layered architecture and dependency rules during code generation, not after, to prevent violations of established module boundaries.
refactoring
Renaming types or functions across package boundaries without breaking downstream code using type aliases, re-exports, and gradual deprecation strategies.
open-source
Learn the four governance models for company-backed open source projects and how each balances corporate control with community contributions.
open-source
Explore the unresolved legal questions around licensing AI-generated code when copyright law assumes human authorship and existing licenses don't address machine-created works.
models
Speculative decoding uses a small draft model to predict multiple tokens at once, then verifies them in parallel with a larger model to speed up code completion.
models
We benchmarked five embedding models on code search tasks to compare retrieval accuracy, query latency, and resource requirements for finding functions and implementation patterns.
models
Learn how to build custom LLM evaluation sets from production logs, code repositories, and support tickets to test model performance on your specific domain.
