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Feat framework

5 articles · Page 1 of 1
Three Knives
Three Knives
Aug 22, 2026 · Cloud Native

Eliminating Startup Decisions: How Feat Moves Runtime Choices to Compile Time for Faster Cold Starts

The article explains how the Feat framework reduces Java cold‑start latency by shifting configuration and environment decisions from runtime to compile time, using a three‑layer config model, externalized placeholders, and compile‑time code generation to eliminate on‑the‑fly processing.

Cold StartCompile-time ConfigurationFeat framework
0 likes · 7 min read
Eliminating Startup Decisions: How Feat Moves Runtime Choices to Compile Time for Faster Cold Starts
Three Knives
Three Knives
Aug 8, 2026 · Backend Development

How One Developer and AI Migrated RuoYi-Vue to Feat in Hours – A Quiet Java Backend Revolution

In a weekend experiment, a solo developer used AI tools to port the popular RuoYi-Vue Spring Boot admin system to the native AOT framework Feat, achieving 14 of 18 core features with zero front‑end changes, illustrating the rise of AI‑augmented solo development and the accelerating shift toward AOT‑based Java backends.

AI-assisted developmentAOTFeat framework
0 likes · 9 min read
How One Developer and AI Migrated RuoYi-Vue to Feat in Hours – A Quiet Java Backend Revolution
Three Knives
Three Knives
Jul 19, 2026 · Backend Development

Why Feat Is So Fast: The 2,000‑Line smart‑socket Core Explained

Feat achieves sub‑100 ms startup, double Vert.x throughput, and sub‑1 ms latency because its communication layer relies on the ultra‑lightweight smart‑socket kernel, a 2,000‑line AIO implementation that eliminates unnecessary abstraction and resource waste.

Feat frameworkJava AIOasync I/O
0 likes · 6 min read
Why Feat Is So Fast: The 2,000‑Line smart‑socket Core Explained
Three Knives
Three Knives
Jul 10, 2026 · Cloud Native

Java Cloud‑Native’s Emperor’s New Clothes: How Long Have We Been Hijacked by Upgrades?

The article critically examines the recent Java ecosystem upgrades—Jakarta namespace changes, Spring Boot 3.0’s Java 17 requirement, GraalVM Native Image hype, and Virtual Threads—showing that the promised benefits are minimal while migration costs and compatibility risks are substantial, and it highlights Feat as a pragmatic alternative.

Feat frameworkGraalVM Native ImageJDK 17
0 likes · 9 min read
Java Cloud‑Native’s Emperor’s New Clothes: How Long Have We Been Hijacked by Upgrades?
Three Knives
Three Knives
Dec 15, 2025 · Backend Development

Why JDK’s Built‑in GZIP Is Inefficient and How Feat’s Custom Stream Solves It

The article examines the blocking‑IO and loop‑blocking problems of Java’s standard GZIPInputStream in high‑concurrency async scenarios, then details Feat framework’s reimplementation with an async‑friendly state‑machine design, fine‑grained state management, memory optimizations, full RFC 1952 compliance, and provides concrete code examples.

Feat frameworkGZIPJava
0 likes · 8 min read
Why JDK’s Built‑in GZIP Is Inefficient and How Feat’s Custom Stream Solves It