DEVELOPER NEWS STREAM
Direct logs, engine updates, and framework notifications parsed from curated RSS feeds and announcements, updated hourly.
Alberto BarragoTelemaco: a headless Rust browser engine
Telemaco is a headless browser engine I've been building in Rust. It runs real JavaScript through V8,...
TritonXBuilding TritonX: How I Got 1200x Speedups over Python Matrix Loops using Rust & C-ABI
I built TritonX, an open-source Rust-powered matrix compute engine designed to offload heavy...
arckerstela — six Lithair releases in five days, because a product demanded them
Lithair is a memory-first Rust web framework I build. I started building a blog engine on it, and in five days the framework went from v1.3.0 to v1.9.0 — not out of ambition, out of necessity: every gap the product hit became a release. What stela is, what building a real consumer reveals that no code review finds, and where it honestly stands: it works, and it isn't shipped.
pavan kBuilding Sentinel V6: A Memory-Efficient Burp Suite Alternative in Rust & Tauri
I'm excited to share an open-source project I've been building: Sentinel V6 Desktop. It is a...
Michael DengThe Enterprise Coming-of-Age of a Memory Engine: Multi-Tenancy, Auth, Audit, and Backup Drills
Every feature described here is live in production (on our own servers). Commits: 8e9a83c / 138c663...
Michael DengTeaching a Memory Engine to Sleep: Async Reflection Pushes LoCoMo to 85.3%
All numbers in this post come from reproducible evaluation scripts. Protocol: full LoCoMo benchmark,...
Michael DengNylonME vs TencentDB-Agent-Memory: A Collision of Two Memory Philosophies
On the same day v2 was finalized, we finished the full 10-session validation run and stacked...
Michael DengChoosing an Agent Memory Engine: A Six-Dimension Evaluation Framework
Disclosure: we are the authors of NylonME. This is naturally a bit of "the seller praising their...
Juan Carlos IsazaMy adaptive memory stayed empty in production, and it wasn't a bug
I had a table in the database that was supposed to fill itself. Its job was to learn from failures: every time the system tried a variant of something and it didn't work, it saved it, to recycle later in another context where it might. A laboratory o
Bo$onaXBuild a Production-Grade Polymarket Bot with Rust
Learn how to build a production Polymarket bot with real-time market data, execution controls, order...
![[pt-BR] Desmistificando Traits em Rust: Herança para Pythonistas](https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdesbravandorust.com.br%2F..%2Fimgs%2Fdevto-covers%2F0009.jpg)
Jose Luis da Cruz Junior[pt-BR] Desmistificando Traits em Rust: Herança para Pythonistas
Por @zejuniortdr em Mar 28, 2026 👋 Bem-vindos, desbravadores! Se você vem do Python e está...
hongjv zhaoStar Trek Voice Computer AI Agent
I Built a Star Trek Ship Computer in Rust Repo:...
Sergey BoyarchukRust's Future Evolution: Balancing Feature Expansion with Design Coherence and Simplicity
Introduction Rust has emerged as a powerhouse in the programming world, celebrated for its...
Justin - FromTheArchitectThe Application Shell: GtkApplicationWindow vs AdwApplicationWindow
This is the first proper entry in A Field Guide to GTK Widgets — a series about which widget to reach...
subaruWho Decides the Tenant? A Small Rust Guard for AI Tool Calls
I have been thinking about a fairly ordinary failure mode in AI-enabled SaaS products. A support...
xbillTwo Iceberg Clients, One Protocol: Where the Time Goes
Step by step: timing the Rust and Python Iceberg REST clients on the same operations, on a local catalog and on BigLake and OneLake. Rust is 2x to 4x faster per call on the same machine, the two are even over the internet, and Python takes half a second longer to start on every catalog.