Tony Bai's tech world (tonybai.com). Not satisfied with just "knowing how", we strive for mastery. Focused on Go language internals, high-quality engineering practices, and cloud‑native architecture, exploring cutting‑edge intersections of Go and AI. Gophers who pursue technology are welcome—follow me and evolve with Go.
The article details a full‑scale, AI‑driven rewrite of the Bun runtime from Zig to Rust, performed by a single engineer with 64 parallel Claude agents over 11 days, producing over a million lines of Rust code, cutting memory usage, binary size, and improving performance while documenting costs, bugs, and safety reviews.
The article reviews the arXiv paper on MCP Server architecture, presenting five reusable design patterns and four anti‑patterns, explains the research methodology, shares concrete code examples, and quantifies how tool count affects LLM selection accuracy, offering practical guidelines for building robust MCP Servers.
The article explains why private Go modules often cause pain points such as scattered credential storage, import path lock‑in, and scaling issues, then details the underlying mechanisms of GOPRIVATE, GOPROXY, GOSUMDB and GOVCS, and walks through personal and organizational solutions—including .netrc, git config rewriting, static HTML, govanityurls, and hosted services—while comparing trade‑offs and offering a decision matrix.
The article chronicles Claude Code’s four‑year evolution from an internal “clide” prototype and a simple song‑switching demo to a fully autonomous command‑line coding agent, detailing the technical hurdles, team dynamics, product pivots, and the model breakthroughs that reshaped software development at Anthropic.
This guide explains why AI development now relies on reusable loop structures, defines the six essential loop components, shows how to implement a minimal four‑file system with Claude Code, and provides detailed instructions for triggers, context, actions, verification, state updates, decision logic, permission ladders, scheduling, and common pitfalls.
This guide shows how to install the gvu CLI, add a Go module vanity import path using the default gomod.io domain or a custom domain, configure GOPRIVATE, use the path in go.mod, handle monorepo subdirectories, manage routes, and understand account quotas, all without writing Nginx or YAML configurations.
The article examines Go's deliberately cautious evolution—focusing on stability, minimal feature creep, and operational simplicity—by contrasting it with the rapid feature expansion of languages like C++, Rust, and TypeScript, and argues why this approach may remain advantageous over the next five years.
Over five years the author refined an internal private Go module fetching system, only to discover when delivering the code to a client that the assumed network and trust boundaries broke, prompting the creation of a command‑line tool (gvu) to automate vanity import mapping and module distribution.
Manu Martínez‑Almeida explains how Gin’s commitment to ‘Simple over Easy’—rejecting reflection‑based injection, using a minimal routing language with a radix tree, zero‑allocation context pooling, and strict backward‑compatible API design—produced a high‑performance, maintainable Go web framework that now powers hundreds of thousands of projects.
The article presents twenty essential loop design patterns for industrial AI systems, explains how they differ from single‑call prompts, provides concrete examples, code snippets, and use‑case scenarios, and shows how these loops enable self‑improvement, memory, planning, exploration, and system optimization for AI agents.
