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#promptengineering

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JAJoan Ayebolafreecodecamp.org12h ago · 33 min read

How to Build an AI Feature With Gemini: A Practical Guide to Prompt Engineering for Developers

Most prompt engineering tutorials follow the same shape. Install the SDK, paste your API key, call generateContent, and print the response. The model says something plausible and the tutorial ends. Th

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PTPRANAV THAWAITomnikon.hashnode.dev1d ago · 4 min read

Prompt Composition: Reusing Prompts Like Components

One of the biggest mistakes I see in AI projects isn't bad prompts. It's duplicated prompts. Every new feature gets its own prompt. Every agent copies the same system instructions. Every team ends up

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NMNoura Mostafacode-odyssey.hashnode.devJul 15 · 3 min read

7 Programming Habits That Separate Great Developers from Average Ones

7 Programming Habits That Separate Great Developers from Average Ones When people think about successful developers, they often imagine someone who knows every programming language or can solve imposs

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ADAbirbhab Dasguptaabirbhabdasgupta.hashnode.devJul 13 · 5 min read

Loop Engineering vs. Prompt Engineering: Is This Actually a New Skill?

Long before anyone called it "loop engineering," developers working heavily with coding agents had already converged on the same workaround: a plain text file where every mistake the agent made got wr

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WSwesley schollkonjo.hashnode.devJul 13 · 21 min read

I Couldn't Find a Local LLM Tool Fast Enough, So I Built My Own Called Squish

This requires Apple Silicon (M-series) and macOS 13 (Ventura) or later. If you're on Intel, Linux, or Windows, the numbers in this article will not apply to your hardware. TL;DR: Squish is a local LLM

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SRSukalyan Roysukalyanroy.hashnode.devJul 11 · 14 min read

One Model Is the New n=1

In the first eval, the conclusion was annoying but useful. At the frontier, it did not make the model meaningfully smarter. Opus and gpt-5.5 solved the hard bug with or without it. The prompt's measur

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PTPRANAV THAWAITomnikon.hashnode.devJul 10 · 4 min read

Building Type-Safe AI Prompts with TypeScript

Building Type-Safe AI Prompts with TypeScript In the previous article, we explored why prompt strings become difficult to manage as AI applications grow. But identifying the problem is only half the j

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PTPRANAV THAWAITomnikon.hashnode.devJul 10 · 4 min read

Why Prompt Strings Don't Scale in Production

Why Prompt Strings Don't Scale in Production If you've built an AI application, you've probably written prompts like this: const prompt = ` You are an expert software engineer. Review the following c

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PTPRANAV THAWAITomnikon.hashnode.devJul 10 · 3 min read

Stop Writing Prompt Strings: Meet PromptForge Core

As AI becomes part of modern applications, prompts are no longer just strings—they're becoming part of your codebase. Yet most of us still write prompts like this: const prompt = "You are a helpful

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PMPrajwal Mglitch-guy0.hashnode.devJul 10 · 4 min read

Building with AI: A Journey from Idea to Reality

When I set out to build my latest project with Bmad-method, I had a clear goal: to harness the power of Large Language Models (LLMs) to solve a complex problem for my users. But as anyone who has work

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#promptengineering

Explore Hashnode

Trending tags this week

How to Build an AI Feature With Gemini: A Practical Guide to Prompt Engineering for Developers

Prompt Composition: Reusing Prompts Like Components

7 Programming Habits That Separate Great Developers from Average Ones

Loop Engineering vs. Prompt Engineering: Is This Actually a New Skill?

I Couldn't Find a Local LLM Tool Fast Enough, So I Built My Own Called Squish

One Model Is the New n=1

Building Type-Safe AI Prompts with TypeScript

Why Prompt Strings Don't Scale in Production

Stop Writing Prompt Strings: Meet PromptForge Core

Building with AI: A Journey from Idea to Reality