Deploying a Rust MCP Server to Azure Appservice

via DEV Community: rust (author: xbill)

Turn Your File System Into a SQL Database

via DEV Community: rust (author: Mukhtar)

Building a Low-Cost Image Converter on AWS With Rust Lambda

Project demo link: https://image-ignite.vercel.app/

This started as a hobby project. I was thinking about a simple image conversion service for resizing ,convert, compress uploaded images.

Since it was a personal project, cost mattered a lot.
Keeping EC2 instances running 24/7 felt unnecessary for a workload that only existed for a few seconds per request.

So I started experimenting with AWS Lambda.

First Attempt: Node.js + Sharp on Lambda

My initial stack was:

The architecture was very simple:

Upload → Lambda → Process Image → Store Result

At first, Lambda felt like the perfect solution:

● no idle server costs
● automatic scaling
● no server management
● pay only when used

Exactly what I wanted for a hobby project.

The Problem I Started Noticing

After some usage, cold starts became noticeable.
Especially for image-heavy requests.

The actual image processing was fast enough, but startup time sometimes became a large part of the total request.

Approximate numbers from my experience:

For a workload that only runs a few seconds, that startup overhead feels significant.

Why I Switched to Rust

I rebuilt the processor using Rust Lambda.
Not because of hype.

The workload simply matched Rust better.
The difference became noticeable almost immediately.

For this type of workload, lower startup time mattered a lot more than I initially expected.

Final Thoughts

This project started as a small hobby image converter where I wanted to avoid the cost of always-on infrastructure. I initially used Node.js with Sharp on AWS Lambda, but cold starts became noticeable for short-lived image processing tasks. Moving to Rust improved startup time and reduced memory usage significantly. More importantly, it changed how I think about infrastructure — some workloads work better as temporary, event-driven compute instead of persistent servers.

via DEV Community: rust (author: fayismahmood)

Building an open-source Windows file transfer app with Rust, Tauri and QUIC

via DEV Community: rust (author: Kerim Sabic)

The 2 extra bits — building software for systems that can't fail

Why "38bits"?

In 1952, IBM shipped the IBM 701 — the first large-scale electronic scientific computer in history. Its accumulator had 36 bits.

But the engineers added 2 more.

Not because the spec demanded it. Not because customers asked. They added them because critical operations cannot tolerate overflow on the last digit. Those 2 bits never needed to exist — but they're what separated sufficient from exceptional.

That's the name. That's the principle.

What we do

We build software for systems that can't fail:

● Smart contracts on Solana with Anchor + Rust
● Zero-trust security from the first commit
● APIs built for real load — observability, rate limiting, CI/CD with production-grade tests
● Independent code review with seniority — not a trainee reviewing the senior

Brazilian fintechs. DeFi protocols. Backends where downtime has a real dollar cost.

Principles we don't negotiate

1. Senior in every critical decision. Not a junior executing while a senior reviews once. Real seniority shapes architecture, not just approves PRs.
2. Zero-trust from commit #1. Auth, rate limiting, observability, vulnerability scanning — not bolted on after the first incident.
3. Tests in production-real conditions. Concurrency, load, edge cases. Local with happy paths is not enough.
4. Living documentation. Decisions get written. Tradeoffs get documented. If it's not written, it didn't happen.
5. Defined SLA + SLO. Not "we'll do our best" — measurable commitments with consequences.

The customer we want

CTOs, engineering heads, technical founders running:

● Fintech (PIX, payment processors, exchanges)
● DeFi protocols pre-audit
● Critical infrastructure where downtime ≠ negotiable
● Pre-launch systems that can't afford a bad first impression

If you're hunting for the cheapest provider, we're not it.
If you've been burned by a code review that didn't catch what it should have — we want to talk.

What's next here

We're going to share:

● War stories from production (anonymized)
● Stack decisions and tradeoffs
● Solana/Rust patterns we actually use
● Security findings worth sharing
● How we think about senioridade in code review

38bits — software where the 2 extra bits matter.

Site: drexbrasil.com · Telegram: @Fl38bits_bot

via DEV Community: rust (author: 38bits)

Rust's Iterators Are Lazy — Proven With Logs

via DEV Community: rust (author: tinyforge)

I’ve Given Up on Bun. I’m Removing It from SuperRails

via DEV Community: rust (author: Hulk in Public)

ตรวจจับ Log Anomaly อัตโนมัติด้วย Garudust Agent 🦅

via DEV Community: rust (author: Garudust)

10 Things You Can Do With Logs Using Garudust Agent 🦅

via DEV Community: rust (author: Garudust)

Core Rust Concepts Every Developer Should Know

via DEV Community: rust (author: mihir mohapatra)

DataZen: a 10 MB open-source database client built with Tauri and Rust

DataZen is a free, MIT-licensed desktop app for PostgreSQL, MySQL, SQLite, and Redis.

Why another client?

● TablePlus is great but paid for many teams
● DBeaver is powerful but heavy on RAM and startup time

DataZen targets daily dev work: connect, browse, run SQL, export — in a <10 MB installer.

Stack

● Tauri v2 + Rust backend (sqlx, redis, russh for SSH)
● React + CodeMirror 6 frontend
● Credentials encrypted locally (AES-256-GCM)

Features

● Multi-window workflow
● Built-in SSH tunnels (no local ssh binary)
● SQL editor with table/column autocomplete
● Virtual scrolling for large tables
● Backup to SQL, CSV/JSON import/export
● PG ↔ MySQL schema + data sync
● Redis key browser
● Dark theme, English + Chinese UI

Status

Early v0.0.3, but I use it as a daily driver for SQL + Redis.

● Download: https://github.com/flyxl/datazen/releases
● Site: https://flyxl.github.io/datazen/
● Repo: https://github.com/flyxl/datazen

macOS: if Gatekeeper blocks the app, run xattr -cr /Applications/DataZen.app after install.

Feedback: wuxiaolongklws@gmail.com (mailto:wuxiaolongklws@gmail.com) — stars and issues welcome!

via DEV Community: rust (author: flyxl)

I Built "harumi" — A Pure Rust PDF Editing Library with CJK Support

Overview

harumi is a Pure Rust library that lets you dynamically add CJK text (Japanese, Chinese, Korean) to existing PDFs. Unlike bindings-based solutions, it has zero C dependencies and handles font subsetting automatically.

● crates.io: https://crates.io/crates/harumi
● GitHub: https://github.com/kent-tokyo/harumi

Why Another Rust PDF Crate?

The existing Rust PDF ecosystem leaves a gap:

harumi fills that gap: append-only editing of existing PDFs, Pure Rust, with automatic CJK font subsetting and ToUnicode CMap generation built in.

The Three Hard Problems of CJK in PDF

Getting Japanese (and CJK in general) right inside a PDF isn't just about "embedding a font." There are three distinct challenges:

1. Font Subsetting

A full Japanese font file can easily exceed 10 MB. For practical file sizes you must extract only the glyphs actually used and rebuild the font binary — this is subsetting. harumi does this automatically at save time.

2. ToUnicode CMap Generation

PDFs separate rendering (Glyph IDs) from semantics (Unicode code points). Without a ToUnicode CMap, copy-paste and text search produce garbled output. harumi generates this mapping for every font it embeds.

3. Glyph Advance Width Recalculation

After subsetting, Glyph IDs are reassigned. The advance widths stored in the PDF must be recalculated to match — otherwise text spacing breaks. harumi handles this as part of the save pipeline.

Lazy Subsetting Pipeline

harumi uses a lazy subsetting design to handle all three problems in one pass:

1. embed_font() — store raw font bytes; no processing yet
2. Collect all text draw calls across all pages
3. Walk every page at save() time, gathering the complete set of used characters
4. Subset the font to only those glyphs
5. Reassign Glyph IDs
6. Build the ToUnicode CMap
7. Recalculate advance widths and write the final CIDFont object

This single-pass approach avoids redundant font processing and keeps the implementation straightforward.

Feature Overview

use harumi::Document;

let mut doc = Document::open("input.pdf")?;

// Append text (including invisible text for search layers)
doc.page(0).add_text("Hello, 世界！", font, 12.0, x, y)?;

// Draw shapes and embed images
doc.page(0).draw_rect(x, y, width, height, color)?;
doc.page(0).embed_image(image_bytes, x, y, width, height)?;

// Page operations
doc.rotate_page(1, 90)?;
doc.delete_page(2)?;
doc.reorder_pages(&[2, 0, 1])?;

// Merge and split
let other = Document::open("other.pdf")?;
doc.merge(other)?;
let parts = doc.split_at(&[3])?;

// Extract text
let text = doc.extract_text(0)?;

// Metadata
doc.set_title("My Document")?;

doc.save("output.pdf")?;

Current Status & Roadmap

harumi is published on crates.io and the source is available on GitHub.

Planned improvements:

● Broader CJK font format support
● Form field editing
● Performance optimizations for large documents

Feedback, issues, and contributions are very welcome!

via DEV Community: rust (author: kent-tokyo)

Auth multi-tenant que prova, não promete: como o GarraIA fecha 110 cenários de RBAC + 81 de RLS antes do beta da Fase 3

via DEV Community: rust (author: Michel)

Deploying a Rust A2A Agent to Google Cloud Run

via DEV Community: rust (author: xbill)

[Solved] 12 Best Sites to Buy Mix Gmail Accounts in Bulk &

via DEV Community: rust (author: marcellapa)

Building a Browser-Based RPG Map Editor with Rust, WebAssembly, WebGL2, and React

via DEV Community: rust (author: TheXper)

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via DEV Community: rust (author: Writer Support Uk)

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via DEV Community: rust (author: Assignment Service Uk)

Web Developer Travis McCracken on The Power of Make and Bash

via DEV Community: rust (author: Travis McCracken Web Developer)

Ubuntu 26.04: Goodbye sudo, Hello Rust and Post-Quantum SSH

via DEV Community: rust (author: Arthur)

Localizing a Tauri App for Japanese and English — What Actually Works

All tests run on an 8-year-old MacBook Air.
All results from shipping 7 Mac apps as a solo developer. No sponsored opinion.
All my apps ship in Japanese and English. Not separate codebases — one app, two languages, runtime switching.
Here's the implementation that works in production.

Why bother with dual language
Japanese users convert better on Japanese UI with JPY pricing. English users are a global market. Both are worth serving. One codebase is the only viable approach for a solo developer.

The i18n library
I use react-i18next in the React frontend:
bashnpm install i18next react-i18next
typescript// i18n.ts
import i18n from 'i18next'
import { initReactI18next } from 'react-i18next'

i18n.use(initReactI18next).init({
resources: {
en: { translation: enTranslations },
ja: { translation: jaTranslations },
},
lng: 'en',
fallbackLng: 'en',
})

export default i18n

Translation file structure
typescript// en.json
{
"sync": {
"start": "Start Sync",
"stop": "Stop Sync",
"status": {
"idle": "Ready",
"running": "Syncing...",
"complete": "Sync complete",
"error": "Sync failed"
}
},
"device": {
"connect": "Connect Device",
"disconnect": "Disconnect",
"notFound": "No device found"
}
}

// ja.json
{
"sync": {
"start": "同期開始",
"stop": "同期停止",
"status": {
"idle": "待機中",
"running": "同期中...",
"complete": "同期完了",
"error": "同期エラー"
}
},
"device": {
"connect": "デバイスを接続",
"disconnect": "切断",
"notFound": "デバイスが見つかりません"
}
}

Detecting system language
Get the system locale from Rust and pass to the frontend on launch:
rust#[tauri::command]
fn get_system_locale() -> String {
std::env::var("LANG")
.unwrap_or_default()
.split('.')
.next()
.unwrap_or("en")
.to_string()
}
typescriptconst locale = await invoke('get_system_locale')
const lang = locale.startsWith('ja') ? 'ja' : 'en'
i18n.changeLanguage(lang)

Localizing Gemini prompts
AI prompts need localization too. Japanese users get Japanese responses:
rustpub fn build_prompt(input: &str, lang: &str) -> String {
match lang {
"ja" => format!(
"以下のエラーを日本語で説明し、修正方法を提案してください。\nエラー: {}",
input
),
_ => format!(
"Explain this error and suggest a fix.\nError: {}",
input
),
}
}
A Japanese user who gets an English AI response will be confused. Localize the prompts.

The separate Gumroad listings
One app binary, two Gumroad listings — JP and EN with different prices and descriptions. The JP listing uses JPY pricing. The EN listing uses USD.
Users self-select. The binary is identical. The storefront is localized.

The verdict
react-i18next + system locale detection + localized AI prompts covers the full localization stack. The overhead is low. The market expansion is real.

If this was useful, a ❤️ helps more than you'd think — thanks!
Hiyoko PDF Vault → https://hiyokoko.gumroad.com/l/HiyokoPDFVault
X → @hiyoyok

via DEV Community: rust (author: hiyoyo)