ARTICLEDEV.to AI·26d ago
I Accidentally Invented Tool Calling and Then OpenAI Actually Did It
The author recounts
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ARTICLEDEV.to AI·4/18/2026
50 AI Prompts That Write Professional Emails in Under 60 Seconds
The content reveals an effective prompt structure for using AI (like ChatGPT) to write professional emails in under 60 seconds, emphasizing the importance of role, context, recipient, goal, and constraints for high-quality output. This approach allows users to craft personalized and impactful emails, avoiding generic responses.
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ARTICLEDEV.to AI·4/21/2026
Stop Trying to Prompt Your Way Out of a Hallucination
The author recounts building a personal AI agent that hallucinated, fabricating project dependencies and referencing non-existent directories with high confidence. Initially trying to fix this by tweaking prompts, they realized that hallucination isn't a prompt engineering failure but a deeper model issue.
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RESEARCHarXiv CS.AI·4/25/2026
The Last Harness You'll Ever Build
This research proposes a two-level framework to automate the painstaking 'harness engineering' required for AI agents deployed on complex, domain-specific workflows. It features a 'Harness Evolution Loop' where an Evolution Agent modifies a worker agent's harness based on adversarial evaluations.
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DOCDEV.to AI·4/25/2026
Indian Developers: How to Build AI Side Income with $0 Capital in 2026
This guide details how Indian developers and students can build AI side income with zero capital, leveraging free APIs and hosting to create and sell digital products. It outlines a step-by-step plan with a timeline to achieve monthly earnings of $2k-$10k over a year.
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RESEARCHarXiv CS.CL·4/30/2026
Information Extraction from Electricity Invoices with General-Purpose Large Language Models
This study evaluates general-purpose LLMs like Gemini 1.5 Pro and Mistral-small for information extraction from Spanish electricity invoices, demonstrating that prompt quality is paramount over hyperparameter tuning. It shows few-shot strategies yield significantly better results than zero-shot approaches, with a performance gap exceeding 19 percentage points.
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RESEARCHarXiv CS.CL·5/7/2026
Self-Prompting Small Language Models for Privacy-Sensitive Clinical Information Extraction
This research presents a locally deployable framework enabling small language models to extract privacy-sensitive clinical entities from unstructured dental notes through self-generated and refined prompts. The study evaluated open-weight models, achieving high F1 scores with Qwen2.5-14B-Instruct and Llama-3.1-8B-Instruct after supervised fine-tuning and direct preference optimization.
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RESEARCHarXiv CS.LG·18d ago
Predicting Performance of Symbolic and Prompt Programs with Examples
This research paper introduces a coin-flip model to predict the performance of symbolic and prompt-based LLM programs using a few in-domain examples and a performance prior. It finds that symbolic programs exhibit an "all or nothing" performance prior, while prompt programs have a diffuse prior.
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RESEARCHarXiv CS.CL·27d ago
Exploring how EFL students talk to and through AI to develop texts
This study explores how English as a foreign language (EFL) students interact with AI chatbots to develop texts, analyzing their prompting strategies and the negotiation of authorship. The research identified distinct profiles of human-AI rhetorical load responsibility: AI-dominant, Human-dominant, and Collaborative.
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RESEARCHarXiv CS.CL·13d ago
Unlocking Fine-Grained and Within-Utterance Speaking Style Control in Prompt-Based Text-to-Speech Models
This paper proposes novel techniques for fine-grained speaking style control in prompt-based text-to-speech (TTS) models. It addresses inter-utterance style interpolation and intra-utterance style transitions, overcoming limitations of global style application.
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ARTICLEGoogle for Developers (YouTube)·13d ago
Inside the Chrome Dev Prompt Lab at Google I/O 2026
This article explores the Chrome Dev Prompt Lab presented at Google I/O 2026, highlighting innovations in development and AI. It offers an inside look at future tools for developers.
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ARTICLEDEV.to AI·4/27/2026
Why Your Prompt Works in ChatGPT But Not in Your App
The article explains why prompts might work well in chat interfaces like ChatGPT but fail when used directly via API in an application. This discrepancy occurs because chat interfaces silently inject their own system prompts and other behind-the-scenes assistance.
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ARTICLEDEV.to AI·8d ago
Technical Writing for AI Products
Technical writing is crucial for the success of AI products, as users require clear documentation to understand and effectively utilize complex AI systems. The rise of AI is expanding the role of technical communicators, demanding new types of content.
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DOCDEV.to AI·7d ago
How to Use DeepSeek for Google Ai Overview Optimization in 2026
This content details how to use DeepSeek's AI models for content optimization targeting Google AI Overview panels. It leverages advanced prompt engineering to craft structured, authoritative responses that excel in Google's AI Overview, outlining a 5-step workflow.
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DOCDEV.to AI·22d ago
From Idea to Image: A Practical Midjourney Prompting Guide
This practical guide explains how to create effective Midjourney prompts, transforming ideas into detailed images. It offers a reusable workflow for various applications, focusing on clarity for beginners and control for advanced users.
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CASEDEV.to AI·4/16/2026
I Built an AI News Desk for My MMA Site. Here's What Actually Worked.
The author built an AI news desk for an MMA site, detailing the tech stack and the evolution of prompt engineering. They learned to avoid bot-like writing by using structured data, specific style guides, and a list of banned words.
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ARTICLEDEV.to AI·21d ago
Prompt Versioning and Prompt Management for Engineering Teams
This content highlights how LLM prompts have evolved into critical application logic, creating complexity in managing their versions and variants for engineering teams. It underscores the need for dedicated prompt management solutions, akin to configuration files, and lists several existing tools.
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ARTICLEDEV.to AI·5/11/2026
Save Your ChatGPT and Claude Prompts Privately in Chrome (No SaaS, No Cloud)
Serious users of generative AI, such as ChatGPT and Claude, face the problem of not being able to find and reuse effective prompts. This prompt management challenge affects professionals across various fields, who accumulate dozens of prompts without a proper organization system. The article highlights the need for a solution to privately and efficiently store and search prompts.
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ARTICLEDEV.to AI·4/27/2026
Context Compression in .NET
This quick tip explains how to implement context compression in .NET for RAG systems, addressing the lack of a direct equivalent to tools like LLMLingua. It proposes using a smaller, cheaper worker model to pre-process retrieved documentation, extracting only essential facts to reduce cost and latency with premium AI models.
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ARTICLEDEV.to AI·5/9/2026
Beyond Prompt Engineering: The Shift to Agentic Orchestration
The article describes a shift from prompt engineering, which is brittle and complex for large applications, to agentic orchestration. This new paradigm involves LLMs acting as reasoning engines that control a loop of tools and states, facilitated by frameworks like LangGraph or CrewAI.
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