# AI tools for developers Published articles for AI tools for developers. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Google IO 26: Gemini, Big Rocks, Opportunities for Android DevFeed: [Google IO 26: Gemini, Big Rocks, Opportunities for Android]() Original publisher: [Read original article]() Author: Elye - A Dev By Grace Published: 2026-07-05T09:06:38Z Content type: article Language: en Sources: [Mobile App Development Publication - Medium]() Topics: [Android](), [Google](), [Artificial Intelligence](), [AI Models](), [android-development](), [AI tools for developers]() Tags: [ai](), [ai-models](), [ai-tools-for-developers](), [android](), [android-app-development](), [android-development](), [androiddev](), [gemini](), [google](), [google-io](), [mobile](), [mobile-app-development]() ### AI overview This article reviews Google I/O 26 with a focus on Gemini models, developer tools, the Android ecosystem, Android 17, and opportunities involving UI, performance, and AI. ### Source excerpt In the AI Age, Google continue to thrive in its mobile ecosystem Continue reading on Mobile App Development Publication " ## 45 Minutes, 100% AI-Generated Code DevFeed: [45 Minutes, 100% AI-Generated Code]() Original publisher: [Read original article]() Published: 2025-04-19T00:00:00Z Content type: article Language: en Sources: [Mutt0-ds Notes]() Topics: [Vibe coding](), [AI tools for developers](), [Artificial Intelligence](), [AI Agent](), [cursor](), [dashboards](), [Next.js](), [web applications](), [Figma]() Tags: [ai](), [ai-agent](), [ai-tools-for-developers](), [coding](), [cursor](), [figma](), [next-js](), [prompting]() ### AI overview The author describes building an interactive StoryTeller dashboard with an AI agent in 45 minutes using entirely AI-generated code. The article argues that AI tools accelerate research and prototyping but still require critical thinking, while blindly accepting generated code can create technical debt. ### Source excerpt Last Saturday, I woke up with an idea: what if StoryTeller, the product I work on, had an interactive dashboard with an AI agent that could... ## Ep. 2: Mastering LLM Integration with Go and Prediction Guard DevFeed: [Ep. 2: Mastering LLM Integration with Go and Prediction Guard]() Original publisher: [Read original article]() Published: 2024-07-06T00:00:00Z Content type: tutorial Language: en Sources: [William Kennedy]() Topics: [Go Language](), [Large Language Model](), [Prompt Engineering](), [API](), [Generative AI]() Tags: [access-hosted-language-models](), [advanced-ai-capabilities](), [ai](), [ai-project-innovation](), [ai-response-variability](), [ai-tools-for-developers](), [api](), [configure-max-tokens-and-temperature](), [customizing-ai-model-output](), [effective-ai-prompts](), [episode-2-generative-ai](), [fine-tuning-ai-responses](), [generate-diverse-ai-responses](), [generative-ai](), [generative-ai-tutorial](), [go](), [go-client-for-prediction-guard](), [go-client-setup-tutorial](), [go-developers-and-ai](), [go-programming-language-ai](), [hosted-ai-models-setup](), [integrate-llms-into-projects](), [intro-to-generative-ai-series](), [learn-ai-with-go](), [leverage-large-language-models](), [llm](), [manage-ai-output-variability](), [practical-ai-integration](), [practical-ai-with-go-language](), [prediction-guard-api-tutorial](), [prompt-engineering](), [prompt-engineering-guide](), [step-by-step-ai-tutorial](), [temperature-settings-in-ai](), [using-llms-with-go](), [using-prediction-guard-api]() ### AI overview This episode explains how to integrate large language models into Go applications using the Go client for Prediction Guard. It covers connecting to hosted models, designing prompts, configuring max tokens and temperature, and managing variability in generated responses. ### Source excerpt Introduction: Welcome to Episode 2 of our Intro to Generative AI series! In this segment, Daniel dives into the practical aspects of working with large language models (LLMs) using the Go programming language and the Prediction Guard API. Accessing LLMs: Learn how to set up and connect to hosted models using the Go client for Prediction Guard. Prompt Engineering: Discover how to create effective prompts and configure parameters like max tokens and temperature. Output Variability: Understand how to manage and utilize variability in AI responses for different results. ## AI Coding Tools, Technical Writing, and Blogging for Developers DevFeed: [AI Coding Tools, Technical Writing, and Blogging for Developers]() Original publisher: [Read original article]() Author: TheAnkurTyagi Published: 2023-10-18T13:36:30Z Content type: article Language: en Sources: [ByteSizedBets]() Topics: [Artificial Intelligence](), [AI tools for developers](), [ChatGPT](), [GitHub Copilot](), [coding](), [Software Engineering]() Tags: [ai](), [ai-tools](), [ai-tools-for-developers](), [chatgpt](), [code](), [github-copilot](), [technical-writing]() ### AI overview This developer newsletter discusses ChatGPT, Tabnine, and GitHub Copilot; explains technical writing for developers; and introduces blogging as a way to share knowledge and build a developer career. It also mentions CodiumAI and its use cases, but the supplied text is incomplete. ### Source excerpt AI tools, Technical Writing, Blogging Tips and Small bets Updates