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via DEV Community: rust (author: Writer Support Uk)
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via DEV Community: rust (author: Assignment Service Uk)
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)
I don't want to be a programmer, I want to remind developers that they are failing us and they must take action

use Claude for project planning (it's expensive), use DeepSeek or a cheap Chinese model for coding, use Gemini for review. Errors here, errors there, GitBrain add-ons or VS Code add-ons depending on what you use. A problem in the code? Go to the browser to fix it. Then I need to pay for some subscription from my phone.
This is the curse of wasted time and scattered focus.
I'm not a Rust programmer, but it's the fastest language.
So I built an interface that integrates chat with 30+ AI providers simultaneously, payments, seven memory layers, and a simple but effective embedded IDE — Monica IDE — plus Microsoft Phi Nano.
A browser with advanced privacy tech. Orchestration between models and payments. A unique user experience for each person.
That's my idea. I don't know how to complete it, polish it, or test it on Windows or Mac — I only work on Linux. These are my financial limits. I need your help and advice.

github

via DEV Community: rust (author: aly ghaly)
I built a local-first hybrid vector database in Rust from scratch

A few months ago I started building vecdb — a vector database that
runs entirely on your own machine. No cloud, no API keys, no subscription.

The problem

Most vector databases make you choose — semantic search OR keyword search.
Semantic search finds meaning but misses exact keywords. Keyword search
finds exact matches but misses meaning.

vecdb combines both in a two-stage pipeline:

1. HNSW dense index retrieves candidates by meaning
2. BM25 sparse index re-scores by keyword relevance
3. A fusion function combines both scores

What it can do

Hybrid HNSW + BM25 retrieval
SQL-like query language with VECTOR_SIM predicate
Python and TypeScript SDKs
Single binary, Docker support
187 tests
MIT license

Example query

SELECT * FROM documents
WHERE VECTOR_SIM(vec, [0.1, 0.2, 0.3]) > 0.75
AND payload->>'region' = 'US'
LIMIT 10;

Try it

GitHub: https://github.com/zaydmulani09/vecdb

Would love feedback from the community — especially on the
architecture and what to tackle in v0.2.0.

via DEV Community: rust (author: Zayd Mulani)
ให้ AI พูดภาษาไทยได้ด้วย Garudust Agent + iApp TTS

ถ้าคุณใช้ Garudust Agent อยู่แล้ว การเพิ่มความสามารถให้ AI พูดภาษาไทยออกมาเป็นเสียง ทำได้ในไม่กี่ขั้นตอน — ไม่ต้องแก้โค้ดใด ๆ เพราะ Garudust มีระบบ script tool ที่ pluggable อยู่แล้ว

TTS คืออะไร และทำไมต้อง iApp

TTS (Text-to-Speech) คือการแปลงข้อความเป็นเสียงพูด เหมาะกับ use case เช่น

ตอบกลับผู้ใช้ด้วยเสียงแทนข้อความบน LINE / Telegram
สร้างไฟล์เสียงสำหรับ podcast / narration อัตโนมัติ
Accessibility — ผู้ใช้ที่อ่านหน้าจอยาก

iApp Technology เป็นบริษัทไทยที่มี TTS API รองรับภาษาไทยโดยเฉพาะ เสียงฟังเป็นธรรมชาติ รองรับสูงสุด 10,000 ตัวอักษรต่อ request คิดค่าใช้จ่าย 1 IC ต่อ 400 ตัวอักษร สมัครได้ที่ iapp.co.th

ขั้นตอนที่ 1 — ติดตั้ง tts tool จาก Hub

Garudust มี Hub รวม script tool ให้ install ได้ทันที

garudust tool install tts

ระบบจะดึง tool.yaml และ run.py มาไว้ที่ ~/.garudust/tools/tts/ และ register ใน registry อัตโนมัติ

ขั้นตอนที่ 2 — เพิ่ม Provider Profile ใน config.yaml

Garudust ใช้ระบบ provider profile จัดการ API endpoint และ key — ไม่ต้อง hardcode ใน script

เปิด ~/.garudust/config.yaml แล้วเพิ่ม:

providers:
# ... providers ที่มีอยู่แล้ว ...
tts-iapp:
url: https://api.iapp.co.th/v3/store/audio/tts
key: ${IAPP_API_KEY}

tools:
tts:
model: tts-iapp # ชี้ไปที่ profile ข้างบน

Garudust จะ inject GARUDUST_BASE_URL และ GARUDUST_API_KEY เข้า script อัตโนมัติตอน runtime


ขั้นตอนที่ 3 — เพิ่ม API Key ใน .env
# ~/.garudust/.env
IAPP_API_KEY=iapp_live_xxxxxxxxxxxxxxxx

รับ key ได้จาก iapp.co.th/dashboard

ทดสอบผ่าน CLI
garudust "ใช้ tts tool แปลงข้อความว่า สวัสดีครับ ผมคือ Garudust ผู้ช่วย AI ของคุณ แล้วบอก path ไฟล์ที่ได้"

ผลลัพธ์:

สร้างไฟล์เสียงสำเร็จ
เสียงอยู่ที่: /tmp/tts_88b5bba372dd41a7acc7e37ea75df89b.wav

เปิดฟัง:

open /tmp/tts_88b5bba372dd41a7acc7e37ea75df89b.wav


เบื้องหลัง — run.py ทำงานยังไง

iApp TTS API คืน raw PCM มาโดยไม่มี WAV header ดังนั้น run.py จัดการ wrap header ให้เอง:

def pcm_to_wav(pcm: bytes, sample_rate: int = 24000, channels: int = 1, bits: int = 16) -> bytes:
byte_rate = sample_rate * channels * bits // 8
block_align = channels * bits // 8
data_size = len(pcm)
header = struct.pack(
"<4sI4s4sIHHIIHH4sI",
b"RIFF", 36 + data_size, b"WAVE",
b"fmt ", 16,
1, channels, sample_rate, byte_rate, block_align, bits,
b"data", data_size,
)
return header + pcm

ผลที่ได้คือ RIFF WAV 16-bit mono 24kHz — เปิดได้กับทุก audio player

เปลี่ยน Provider ได้ทันทีโดยไม่แตะโค้ด

นี่คือจุดแข็งของ Garudust provider profile — ถ้าอยากลอง provider อื่นเช่น AIS หรือ local model แค่เพิ่ม profile และเปลี่ยน tools.tts.model บรรทัดเดียว:

providers:
tts-ais:
url: https://your-ais-tts-endpoint/api/tts
key: ${AIS_TTS_API_KEY}

tools:
tts:
model: tts-ais # เปลี่ยนแค่นี้

run.py ไม่ต้องแตะเลย เพราะอ่าน GARUDUST_BASE_URL และ GARUDUST_API_KEY จาก profile เสมอ

ขั้นต่อไปที่ทำได้

● LINE voice message — เพิ่ม OutboundMessage::Audio ใน Garudust core แล้วส่งไฟล์ WAV เป็น voice message บน LINE ได้เลย
● Auto TTS reply — สั่งให้ agent เรียก tts ทุกครั้งที่ตอบ โดย inject ใน system prompt
● Speaker selection — iApp มีหลายเสียง ตั้ง TTS_SPEAKER_ID ใน .env เพื่อเลือกเสียงที่ชอบ

สรุป

Garudust Agent เป็น open source ที่ github.com/garudust-org/garudust-agent — ติดตามหรือ contribute ได้เลย 🦅

via DEV Community: rust (author: Garudust)
Rust's Borrow Checker: Translating Intent into Memory Safety

When people start learning Rust, they usually run into the same obstacle: the borrow checker.

I’ve been there, and everyone has. But the truth is this: The borrow checker isn’t against you; it simply translates what you meant into what the computer needs. Once you understand that, Rust's borrow checker makes a lot more sense.

Let me show you the moment this made sense for me.

The Classic Problem

Here’s a tiny piece of code that looks harmless:


let mut name = String::from("Alice");
let r = &name;

name.push('!'); // this is an error.
println!("{}", r);

Rust says no. And at first, it's frustrating; it seems like the compiler is being pedantic. But there's a method to this.

Rust’s Two Rules

Rust has two simple rules:

1. You can have one mutable reference
2. OR any number of immutable references

The catch: You can never have both at the same time.

Why? Because if something is being changed, Rust doesn’t want other parts of your code reading a half‑changed value. And that's all there is to it.

The “Two Doors” Analogy

Imagine your data is a room.

● An immutable reference is like giving someone a window into the room.
They can look, but not touch.
● A mutable reference is like giving someone the key to the room.
They can move furniture around.

Rust’s rule is simple: You can’t have the window open while someone is rearranging the furniture.

Fixing the Code the Right Way

Here’s our earlier example, but fixed:


let mut name = String::from("Alice");

name.push('!'); // do the mutation first

let r = &name; // then borrow immutably
println!("{}", r);

Or, if you really need both at once, you can clone. Cloning is not a crime, especially for beginners:


let mut name = String::from("Alice");
let r = name.clone();

name.push('!');
println!("original: {}", name);
println!("copy: {}", r);


A Trick That Helps Every Beginner

If you're just starting out, follow this habit: If you’re mutating something, finish all your mutations before you borrow it. This one habit eliminates most borrow checker errors you'll see.

Why Rust Does This (And Why It’s a Good Thing)

Languages like Python, Java, and JavaScript let you mutate data while other parts of your code are reading it. Most of the time, it’s totally harmless. But sometimes, it causes:

sneaky race conditions (which usually only occur during production)
strange bugs
inconsistent state
security issues
data corruption

Rust prevents all of that, because it's designed to.

If You’re Learning Rust, Here’s My Advice

Don’t fight the borrow checker. Instead:

Borrow when you only need to read
Mutate before you borrow
Clone when you need independence
Trust the compiler’s hints
Keep your functions small
Return owned data when in doubt

Rust rewards those who take the time to understand the mechanics. The borrow checker is just the first step in that shift in perspective.

Want More Beginner‑Friendly Rust Posts?

I’m working on a series covering:

ownership
borrowing
lifetimes
slices
structs
enums
pattern matching
error handling
async basics

If you want me to cover something specific, or if there's a specific concept that hasn't clicked yet, drop it in the comments! I’ll turn the most requested topic into another post.

via DEV Community: rust (author: MournfulCord)