Abacus.AI has ChatLLM and AppLLM. ChatLLM is an AI assistant for various tasks like chatting, coding, and image generation, while AppLLM is a no-code platform that builds websites and apps from text prompts using a concept called "vibe coding". Essentially, ChatLLM is for conversational AI and general tasks, and AppLLM is for building applications with AI. Here's a breakdown: ChatLLM: Aims to be a comprehensive AI assistant, integrating various AI models for tasks like chatting, coding, and image generation. Features include voice mode, text-to-image generation, document summarization, and code debugging. Can be used for tasks like brainstorming, writing, research, and more. AppLLM: Focuses on building websites and applications from simple text prompts using "vibe coding". Allows users to create functional apps without coding or server setup. Integrates with tools like ChatLLM and CodeLLM for a streamlined AI development workflow. Can build various types of applications, including websites, chatbots, and more complex AI-powered applications. In short, ChatLLM is about interacting with and leveraging AI for diverse tasks, while AppLLM is about using AI to build applications, particularly websites, without traditional coding. https://appllm.abacus.ai/login #AbacusAI #ChatLLM #AppLLM #NoCode #AICoding #VibeCoding #WebsiteBuilder #AppBuilder #AIAssistant #Chatbot #TextToImage #OpenAI #Bubbleio #Adalo

So whats the next big fad .... "Context Engineering". So WHAT IS CONTEXT ENGINEERING? 𝟭. It’s Feature Engineering—but for AI Agents. (*Check what's feature engineering down below) 𝟮. The art of filling the context window with exactly what’s needed. 𝟯. You’re managing “working memory” like an operating system manages RAM. 𝟰. Agents need engineered context: instructions, tools, memories, examples, feedback. 𝟱. Poor context = forgotten steps, broken tools, bad decisions. 𝟲. Long-running agents hit context limits fast—engineering is essential. 𝟳. Vibe coding doesn’t scale—context engineering does. In the context of AI prompting, feature engineering refers to the process of creating, selecting, and transforming input data (features) to improve the performance of a machine learning model. It involves using domain expertise and various techniques to make the data more suitable for the AI model to learn from and generate better outputs. Check the following links for context: - Langchain Explanation on what it is: https://youtu.be/4GiqzUHD5AA?si=BEIThE_HOT-i3I9T - First post l saw talking about this was by Andrej Karpathy (@karpathy): https://x.com/karpathy/status/1937902205765607626 - And you may wish to follow this lady she dove right into it detail ... never mind hte course it hella expensive !: https://x.com/MaryamMiradi/status/1940810454013518178 #contextengineering #featureengineering #aiagents #langchain #promptengineering #aioptimization #machinelearning #contextwindow #workingmemory #aiprompting #vibecoding #aiperformance #contextualization #aitraining #aiscaling

Vibe Coders Alert ! PRD ... know what that stands for ? Huh ??? A Product Requirements Document (PRD) outlines a product's purpose, features, and functionality, serving as a blueprint for development. It ensures a shared understanding among stakeholders, guiding development and minimizing misaligned expectations. In the "Vibe Coding" era, a Prompt Requirements Document (PRD) focuses on structured prompts for both AI and humans, enabling effective collaboration in AI-driven development. #prd #productrequirements #promptrequirements #vibecoding #aicoding #stakeholders #productdevelopment #aicollaboration #productmanagement #aidriven #developmentblueprint #productdesign #aitools #techspecs #productplanning https://www.youtube.com/watch?v=riO3e-FBieA https://medium.com/@takafumi.endo/prompt-requirements-document-prd-a-new-concept-for-the-vibe-coding-era-0fb7bf339400

Wix acquired Base44 for approximately $80 million. The deal, announced on June 18, 2025, involved an initial payment plus potential earn-out considerations. Base44, a vibe-coding startup founded by Maor Shlomo, was just six months old when acquired. The acquisition highlights Wix's interest in AI and viral app-making technology. The deal was finalized with cash. #base44 #wix #vibecoding #ai #startupacquisition #maorshlomo #no-code #low-code #webdevelopment #appdevelopment #squarespace #godaddy #netlify #aiwebdevelopment #viralapps #aiassisteddevelopment https://youtu.be/vFzQF_Ik_-g?si=IXzlENxLnrjNwn8l https://youtube.com/shorts/2vF2l4zNL7U?si=o66zjXw6brFzthsg https://x.com/DataChaz/status/1931467185731584475

Veo3 wrapper app #ai #aiautomaionagency #aiagency #aientrepreneur #aitools #aitrends #chatgpt #indiehackers #nocode #microsaas #aiagent #buildinpublic #aiinfluencer #vibecoding
 https://www.tiktok.com/@nategold.ai/video/7518774888274988310

Best AI tools To Build an App #loveable #cursor #nocode #nocodetools #vibecoding #saas #techtok #ai https://www.tiktok.com/@imjonathanacuna/video/7497768214357757215

Full Stack PRD Guide for Vibe Coders 📝 https://github.com/cpjet64/vibecoding/blob/main/prd-guide.md Hey Vibe Coders! To help with product definition and avoid scope creep, here’s a guide for creating effective Product Requirements Documents (PRDs). Step 1: Create a "prd.md" Document 📋 Make a markdown file named "prd.md" as your product roadmap. A template is available at the end. Step 2: Document Each Product Component ⚙️ For each component (user flows, features, interfaces): - Key functionality (e.g., authentication) - User stories/acceptance criteria - Technical constraints - Priority level (must-have, should-have, nice-to-have) Step 3: Add Overall Product Metrics 📊 Key success metrics to document: - Key Performance Indicators (KPIs) - User acquisition and retention rates - Conversion goals - Engagement benchmarks Step 4: Consult Advanced AI 🤖 Engage in detailed discussions with AI like ChatGPT 4.5 or Claude 3.7. Discuss various aspects of your PRD, challenge assumptions, and gather insights. PRD Principles to Remember 🔑 - Focus on the WHAT, not the HOW - Requirements should be measurable - Link each feature to a user need - Prioritize to prevent scope creep Recommended PRD Components 🛠️ Include sections such as: - Product vision/goals - User personas/maps - Feature breakdowns - Non-functional requirements - Metrics/analytics plans - User research insights User Research Integration 💻👥 Incorporate user research by documenting: - User pain points/needs - User quotes/inspiration - User segments and distinct requirements - Edge cases and accessibility requirements - Testing plans for validation Feature Prioritization 🎯 Use frameworks like MoSCoW, RICE scoring, and ROI analysis to prioritize features. Stakeholder Management 👥 Document approval processes, feedback loops, and change management procedures. Establish communication plans. Product Analytics & Measurement 📊 Define success metrics, instrument tracking, and set up reporting for user behavior. User Experience Design 🎨 Link your PRD to user experience through flow diagrams, UI requirements, accessibility, and performance expectations. Technical Considerations 🔧 Align product requirements with technical planning, covering API needs, security, and third-party dependencies. Release Planning & Timeline 📅 Plan your release strategy, milestones, timelines, testing phases, and post-launch monitoring. Keep your products well-defined and focused! ✌️ Document Versions Latest versions of this guide are available on GitHub and X.com.