The article details how Anthropic engineers used Claude Code and multiple AI agents to migrate large codebases—from a million‑line Zig project to Rust and a 165k‑line Python codebase to TypeScript—outlining a six‑step workflow, cost considerations, and practical principles for AI‑assisted large‑scale code migration.
Anthropic’s Claude Fable 5, released on June 9, is the first publicly available Mythos‑level model that outperforms competitors across code, reasoning, and visual benchmarks, demonstrates autonomous long‑run operation, powers real‑world cases like Stripe’s massive code migration, and introduces a controversial safety‑degradation system.
Meta has spent four and a half years building a custom, six‑stage Kotlinator pipeline to automatically translate its massive Android Java codebase to Kotlin, tackling null‑safety, build‑time, and headless J2K challenges, and now reports that only half the work is complete while the hardest problems remain.
Anthropic’s Claude Opus 4.8 upgrades agentic reliability and honesty, while its new Dynamic Workflows turn hundreds of agents into a hierarchical, parallel, verifiable pipeline that can orchestrate large‑scale code migrations such as React‑to‑Solid.js or a 750k‑line Rust rewrite in days.
Claude Code’s new dynamic workflow lets a single session launch up to 1,000 sub‑agents with 16‑way concurrency, enabling large‑scale tasks such as migrating 750,000 lines of Bun code from Zig to Rust in just 11 days while achieving a 99.8% test‑suite pass rate.
This article details how we used a three‑layer AI architecture—Skill for stable execution, SubAgent for context‑aware scheduling, and Agent Team for parallel collaboration—to reliably migrate a large Android codebase to a Kotlin Multiplatform project, addressing instability, context inflation, and efficiency challenges.
In just six days, Anthropic's Claude AI translated roughly one million lines of Bun from Zig to Rust, preserving the original architecture, achieving 99.8% test pass rate, reducing binary size, and sparking debate over unsafe code usage and the broader impact of AI‑powered large‑scale code migrations.
This article explains how the Rector tool can automatically refactor and upgrade legacy PHP code—from installation and configuration to real‑world migration scenarios and CI/CD integration—helping developers modernize projects with minimal manual effort.
This guide explains how to compare major code‑hosting platforms, set up required tokens, and use a Docker‑based CNB import tool to batch‑migrate repositories from Coding, GitHub, GitLab, and Gitee into Tencent's CNB environment, including command syntax and post‑migration access details.
This article explains the go:fix tool for Go, covering its background, the inline function and constant forwarding mechanisms, practical code examples, advantages, challenges, and how it streamlines large‑scale codebase migrations.
To simplify large‑scale Vue upgrades such as Vue 2→Vue 3, Webpack 4→Webpack 5, or migration to Vite, the author presents an automated AST‑based migration scaffold that parses JavaScript, Vue, and style files, applies transformation rules with GoGoCode and PostCSS, and rewrites code, reducing manual effort and error risk.
The article describes an AST‑driven command‑line tool that automatically upgrades a Taro 1.x mini‑program to 3.x by updating dependencies, converting imports, restructuring files, consolidating styles, replacing deprecated APIs, and adjusting build settings, offering faster, more reliable migration than the labor‑intensive manual approach.
This guide explains why large JavaScript codebases are moved to TypeScript, compares mixed and full migration strategies, and provides a step‑by‑step tutorial on using Airbnb's ts‑migrate tool, its plugins, and related commands to automate the conversion.
Meta’s recent shift of its Android apps from Java to Kotlin reveals both the compelling benefits—such as null‑safety, concise code, and functional features—and the practical challenges like mixed codebases, tooling gaps, and longer build times, offering a detailed roadmap for large‑scale mobile language migration.
This article explains why the Taobao mobile team migrated the product review list from Objective‑C to Swift, outlines Swift’s three main advantages—speed, safety, and expressiveness—shows concrete design‑pattern implementations, discusses the challenges faced during migration, and quantifies the resulting gains in code size, review efficiency, and crash reduction.
This article shares a developer’s experience converting a Java Spring Boot microservice to Kotlin, covering why Kotlin is attractive, required Maven plugins and dependencies, code‑migration quirks such as open classes and @Jvm annotations, testing hurdles, and the final decision to revert to Java.
This article details the full migration of a large‑scale mobile app from React Native 0.51 to 0.62, covering background, major improvements such as Hermes engine adoption, extensive performance testing, risk‑controlled batch rollout, API compatibility handling, tooling support, CI/CD integration, and post‑deployment verification.
This article presents a comprehensive guide on migrating business code from x86 to TaiShan aarch64 servers, covering language differences, compilation toolchains, architecture‑specific issues such as compiler options, assembly rewrites, memory ordering, floating‑point behavior, and recommended GCC optimizations.
Microsoft announced that Visual Basic will no longer receive new features after .NET 5, focusing only on stability and compatibility, and urges developers to migrate their VB code to .NET Core while still supporting classic .NET for legacy scenarios.
This guide details the migration of X86‑compiled C/C++ applications to Huawei TaiShan Aarch64 servers, covering language differences, required compiler versions, common build‑time errors, assembly rewrites, memory‑ordering quirks, floating‑point precision issues, and specific GCC flags to achieve correct and performant binaries.
This article shares a detailed experience of migrating business code—including C/C++ and Java applications—from x86 servers to TaiShan aarch64 servers, covering language differences, compilation issues, assembly rewrites, compiler options, and performance optimizations to achieve smoother execution on the new architecture.
This guide shares practical experience and step‑by‑step solutions for migrating C/C++ and other language projects from x86 servers to ARM64 TaiShan platforms, covering compilation differences, code adjustments, compiler options, and performance tuning to achieve stable and efficient execution.
This guide shows how to automatically migrate Python 2 scripts to Python 3 using the built‑in 2to3 tool and a simple Windows registry entry that adds a right‑click conversion command for .py files.
This article discusses the rapid evolution of Node.js versions, the practical difficulties of converting legacy code from yield to await, and why developers should consider upgrading to newer releases like Node 8 to leverage V8's performance improvements.
This article details Baixing.com's migration to PHP 7, covering the performance gains, deployment steps, code incompatibilities, extension upgrades, and practical tips that together reduced server load and page response times by 30‑50%.
