Google Maps Adds Gemini AI With Conversational Search And 3D ‘Immersive Navigation’ - forbes.com
<a href="https://news.google.com/rss/articles/CBMi0AFBVV95cUxPNkdjcTdXQ3dNdEk1NGhVYmlZYkpyZHpnczNhQjliMFBDSWcwM0hob0lXRXNTWnJ4NHBKMHFwNWdXRHJlNnFud0ktYkR0ZEhZSllMNTJ0NWladHBsWkEzbm9zV1dkWXhGTUl4ZjlaNWNBZEtnLV9YM3VoQ1NDLVBaT0s0YUkwRlAzSU50Q1l3eW1GV2lqdEQ3X3kyMzZYVjM0dDZHLVJLakx6SzRqa2lHU2Zxbzh1RVY5LW1JaXRuUTJ4YjRkY05oaENUUWZ4V0RW?oc=5" target="_blank">Google Maps Adds Gemini AI With Conversational Search And 3D ‘Immersive Navigation’</a> <font color="#6f6f6f">forbes.com</font>
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I Tested Every 'Memory' Solution for AI Coding Assistants - Here's What Actually Works
Every AI coding session starts from scratch. You open Claude Code or Codex, and it has no idea that your team uses JWT with 15-minute expiry, that you migrated from REST to GraphQL last month, or that the payments service is the one thing you never touch on Fridays. You re-explain the same architecture decisions, the same conventions, the same constraints. Every single time. This is not a minor annoyance. It is compounding time loss. The first 5-10 minutes of every session is wasted on context that the assistant already learned yesterday. Over weeks, that adds up to hours. I went looking for solutions and tested everything I could find. What I Tried a) Obsidian Mind (574 stars on GitHub) Obsidian Mind is an Obsidian vault template that gives Claude Code persistent memory. It works by loadi

Stop Writing AI Prompts From Scratch: A Developer's System for Reusable Prompt Templates
You open Cursor. You need to refactor a service. You type something like: "Hey, can you refactor this function to be cleaner?" The AI gives you something mediocre. You tweak the prompt. Try again. The output improves. You get what you need — but you've spent four minutes writing a prompt you'll write again tomorrow, and next week, and every time a similar task comes up. This is the hidden tax on AI-assisted development. Not API costs. Not context limits. Prompt reinvention. Most developers treat every AI interaction as a blank slate. Senior engineers don't. They've built systems. This article is about building that system: a reusable prompt library that makes your AI interactions faster, more consistent, and dramatically higher quality. Why Most Developer Prompts Fail Before building a sys

Open Source Project of the Day (Part 30): banana-slides - Native AI PPT Generation App Based on nano banana pro
Introduction "Vibe your PPT like vibing code." This is Part 30 of the "Open Source Project of the Day" series. Today we explore banana-slides ( GitHub ), open-sourced by Anionex . Have you ever found yourself the night before a presentation with a blank slide deck — full of brilliant ideas, but completely drained by the drudgery of layouts and design? Traditional AI PPT tools may be "fast," but they're often locked into preset templates, offer little freedom, and produce homogeneous results. banana-slides is built on Google's nano banana pro image generation model, delivering a "native Vibe PPT" experience: three creation paths — one sentence , outline , and page description — upload any template or materials, intelligently parse PDF/Docx/MD files, use natural language voice editing on spe
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Один промпт заменил мне 3 часа дебага в день
Вечерами, когда большинство уже отдыхает, я зависаю в своём офисе и ковыряюсь с кодом. Тот 14 августа, в 21:45, не был исключением. Я опять сидел над этой задачей, которая съедала по три часа каждый день. Почему это была боль Всё началось с простого: проект на Python, который выглядел как очередное рутинное задание. Однако вычисления упорно выдавали ошибочные результаты. Три дня подряд я безуспешно искал причину. Как обычно, приходилось проверять каждую строчку, каждую переменную. Это было настоящим адом. Для фрилансера с жесткими сроками это катастрофа - теряешь время, не зарабатываешь, а заказчик ждёт. Я собрал промпты по этой теме в PDF. Забери бесплатно: https://t.me/airozov_bot Как я нашёл решение Тогда я решил попробовать ChatGPT, хотя и не особо верил в его чудеса. Вбил проблему в п




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