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Articles from Dev.to · jidonglab · 36 articles · Updated every 3 hours · View all reads

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Building a 1,056-Test Rust CLI Without Writing Rust — Claude Code Did It

Dev.to · jidonglab 3w ago

Building a 1,056-Test Rust CLI Without Writing Rust — Claude Code Did It

I don't write Rust. I can read it well enough to catch obvious bugs, but I've never typed impl or fn...

RTK Saves 60% of Tokens. I Made It Save 90%.

Dev.to · jidonglab 3w ago

RTK Saves 60% of Tokens. I Made It Save 90%.

RTK is one of the best tools in the Claude Code ecosystem. 28k GitHub stars, 60-90% token savings on...

Building an AI Trading Bot with Claude Code: 14 Sessions, 961 Tool Calls, 1 Surviving Strategy

Dev.to · jidonglab 4w ago

Building an AI Trading Bot with Claude Code: 14 Sessions, 961 Tool Calls, 1 Surviving Strategy

One CLAUDE.md prompt generated 27 files. A 5-agent review team found bugs I missed. 15 strategies backtested, only 1 survived.

I Used GPT-5 Codex to Generate 5,800 Lines in 4 Commits — Here's the Prompting Pattern

Dev.to · jidonglab 4w ago

I Used GPT-5 Codex to Generate 5,800 Lines in 4 Commits — Here's the Prompting Pattern

Saju-to-Shorts video pipeline. Architecture prompt first, then scaffold, then review. 4 commits, zero manual coding.

5,800 Lines of Code From Zero: How I Bootstrapped a Full Pipeline With AI in One Day

Dev.to · jidonglab 4w ago

5,800 Lines of Code From Zero: How I Bootstrapped a Full Pipeline With AI in One Day

Saju-to-video pipeline. 4 commits. Architecture → scaffold → review → ship. The prompting pattern that kept 5,800 lines coherent.

How I Got AI to Write 5,800 Lines Across Python and React Without Losing Coherence

Dev.to · jidonglab 4w ago

How I Got AI to Write 5,800 Lines Across Python and React Without Losing Coherence

Multi-stack AI coding breaks down at scale. Here are the prompt patterns that kept Claude Code coherent across 4 commits and 2 languages.

Why a 4B Parameter Model Now Beats GPT-3.5 — The 4 Techniques Behind Small Model Revolution

Dev.to · jidonglab 1mo ago

Why a 4B Parameter Model Now Beats GPT-3.5 — The 4 Techniques Behind Small Model Revolution

SLM, MoE, Distillation, Quantization. Four techniques that compress 14GB models to 3.5GB with 95% quality retained.

I Compressed a 14GB Model to 3.5GB and Kept 95% of Its Quality — Here's How

Dev.to · jidonglab 1mo ago

I Compressed a 14GB Model to 3.5GB and Kept 95% of Its Quality — Here's How

Quantization alone cut the model to 25% of its size. Combined with distillation and MoE routing, it runs on a laptop.

This AI Spent 28 Minutes Thinking Before Answering — And Got It Right

Dev.to · jidonglab 1mo ago

This AI Spent 28 Minutes Thinking Before Answering — And Got It Right

DeepSeek R1 generates 100K thinking tokens before responding. Inference scaling trades speed for accuracy — and it's working.

Why Googling 'Fortune Telling App Design' Almost Ruined My Product

Dev.to · jidonglab 1mo ago

Why Googling 'Fortune Telling App Design' Almost Ruined My Product

Every Google result showed red backgrounds and mystical fonts. I ignored all of them and built a Three.js cosmic background instead.

I Reverse-Engineered the #1 Strategy from HuggingFace's AI Trading Arena

Dev.to · jidonglab 1mo ago

I Reverse-Engineered the #1 Strategy from HuggingFace's AI Trading Arena

HuggingFace has a live AI trading competition. I analyzed the top-ranked strategies. The winner isn't the most complex one.

I Had AI Build 15 Trading Strategies. Only 1 Survived.

Dev.to · jidonglab 1mo ago

I Had AI Build 15 Trading Strategies. Only 1 Survived.

I assumed more complex strategies would make more money. Stack five indicators, add dynamic...