How can you run many powerful coding agent for your app safely in a secure customizable Sandbox ? VibeKit VibeKit is an SDK that allows developers to safely run powerful coding agents like Codex, Gemini CLI, and Claude Code in secure, customizable sandboxes. It provides a drop-in solution for executing code in the cloud, with features like GitHub automation, prompt history, and real-time output streaming. Embed Claude Code, OpenAI Codex, Gemini CLI, and Opencode directly into your app with sandboxing, streaming output, and built-in GitHub automation. 100% Opensource. https://www.vibekit.sh/ #VibeKit #Codex #GeminiCLI #ClaudeCode #codingagents #SDK #sandboxing #githubautomation #opencode #realtimeoutput #promptengineering #securecoding #cloudcoding #opensource #airesearch #AItools #codeexecution #LangChain #AutoGPT

How to use Gemini Code CLI The Gemini CLI is an open-source AI agent that brings the power of Google's Gemini models directly into your terminal. It allows you to interact with Gemini for various tasks, including code understanding, editing, and even automating operational tasks. The CLI uses a "reason and act" (ReAct) loop, leveraging built-in tools and external servers to complete complex requests. To use Gemini Code CLI in VS Code, first install the Gemini Code Assist extension from the VS Code Marketplace. Then, you can interact with it by opening the command palette (Ctrl/Cmd + Shift + P) and typing Gemini: Start Chat to begin a chat session, or using the /generate command in a code file to generate code based on your prompts. https://blog.google/technology/developers/introducing-gemini-cli-open-source-ai-agent/ #GeminiCLI #GeminiCodeAssist #AIagent #opensource #googleai #vscode #codegeneration #ReAct #terminal #commandline #codeunderstanding #codeediting #automation #codepilot #githubcopilot #amazoncodewhisperer #aicoding #googlecloud #developers #codingtools

Google Code Assist, powered by Gemini, provides AI-driven support for software development. It is available in both free and paid versions and aids developers in building, deploying, and operating applications. The Google Cloud Shell Editor includes Gemini Code Assist pre-installed, offering a no-cost development environment. https://codeassist.google/ #googlecodeassist #gemini #ai #aicoding #googlecloudshell #cloudshell #clouddevelopment #softwaredevelopment #pairprogramming #codegeneration #codecompletion #codereview #codingtools #githubcopilot #amazoncodewhisperer #codeium #jetbrainsai #vscodeai

How l switched back to Augment Code from Claude Code ! Tried new Claude Code ... verdict: Worth every penny love the little to-do lists but hell lot expensive ! So what do l do l head back home to the loving arms of Augment Code ... still the best and always will be ! (For now 🤫 ... you know relationships nowadays) So this article exaplins why they are nota big fan of Model Pickers ... makes sense though would be great to have the ooption still !). Here is a low done on Augment code and its recent updates: Augment Code is considered a top AI coding agent due to its advanced context engine, which enables personalized and efficient code generation, and its seamless integration with popular IDEs. It also boasts features like memory persistence, which allows it to adapt to individual coding styles, and Multi-Context Programming (MCP) for connecting to various tools and systems, enhancing its utility in the development workflow. Here's a more detailed breakdown of why Augment Code stands out: 1. Contextual Awareness and Memory: Context Engine: Augment's Context Engine is a key differentiator. It analyzes the entire codebase in real-time, providing context-aware suggestions and code completions, leading to more accurate and relevant AI-driven code generation. Memory Persistence: The platform remembers your coding style and project patterns, ensuring that its suggestions are tailored to your preferences and codebase over time, improving efficiency and reducing errors. MCP (Multi-Context Programming): Augment Code goes beyond just the code by integrating with various tools and systems, such as Vercel, Cloudflare, and more, allowing it to gather more information, automate tasks, and even fix issues in live systems. 2. IDE Integration and Workflow: Seamless Integration: Unlike some AI coding tools that require a separate editor, Augment Code integrates directly with popular IDEs like VS Code, JetBrains, Vim, and GitHub, allowing developers to leverage its AI capabilities within their familiar environment. Code Checkpoints: Augment Code automatically tracks changes and creates checkpoints, enabling easy rollback and providing peace of mind when the agent tackles complex tasks. Remote Agent Functionality: Augment Code can operate in a separate container, allowing developers to work on code even when their main machine is off or unavailable, and even run multiple agents in parallel. 3. Advanced Features and Capabilities: Multi-Modal Support: Augment Code can handle various inputs, including screenshots and Figma files, making it helpful for implementing UI elements and debugging visual issues. Terminal Interaction: Beyond code editing, Augment Code can run terminal commands, streamlining tasks like installing dependencies or running dev servers. Auto Mode: For a more streamlined experience, Augment Code offers an Auto Mode, where it automatically applies suggested changes without requiring explicit confirmation for each action. 4. Focus on Collaboration and Productivity: Developer-Centric: Augment Code is designed to work alongside developers, enhancing their existing workflow rather than replacing it, making it a collaborative rather than a replacement tool. Time Savings: By automating tasks, providing accurate suggestions, and handling repetitive coding tasks, Augment Code frees up developers' time to focus on more complex and creative aspects of their work. Continuous Improvement: Through feedback loops and learning from user interactions, Augment Code continuously improves its performance and adapts to the evolving needs of developers. https://www.augmentcode.com/blog/ai-model-pickers-are-a-design-failure-not-a-feature #augmentcode #claude #aicodingagent #aicode #vscode #jetbrains #vim #github #ideintegration #codingtools #productivitytools #memorypersistence #contextengine #multicontextprogramming #vercel #cloudflare #codecheckpoints #remotework #multimodal #figma #terminalinteraction #automode #developercentric #aitools #aidesign #coding #softwaredevelopment #aitool

Tool: Qodo AI is a platform focused on improving code quality and developer workflows through AI-powered agents. It offers tools for code generation, testing, and review within integrated development environments (IDEs) and Git workflows. Qodo aims to help developers write better code, identify and fix bugs, and streamline the code review process. So this was Codium before in case wandering so more like a rebrand. Qodo is a quality-first generative AI coding platform, offering developers tools for writing, testing, and reviewing code. Using Qodo, developers can leverage the power of AI directly within their IDE and Git, ensuring that generated code is accurate and high quality. https://www.youtube.com/shorts/IYORBrFyjHM https://www.qodo.ai/ Other Links: https://www.youtube.com/@QodoAI https://youtu.be/-aSX19T6TaY?si=Vw5BMVa95HNry2NU https://www.linkedin.com/posts/qodoai_introducing-qodo-merge-10-to-tackle-ai-assisted-activity-7290368173818761216-2piy/ #QodoAI #CodiumAI #AIcoding #codegeneration #codetesting #codereview #IDE #Git #developerworkflow #AIagents #codequality #jetbrains #visualstudiocode #githubcopilot #amazoncodewhisperer #AICodeAssistant #generativeAI #softwaredevelopment

JetBrains’ new native agent Junie transforms PhpStorm into an “agentic IDE” by autonomously planning and executing multi-step PHP tasks while leveraging the IDE’s deep code-understanding features; it demonstrates end-to-end delivery on a clean Laravel project, from CRUD screens to tests and seeded data; and its power and safety are enhanced through configurable project guidelines, command allow-lists, and dual “Agent” and “Ask” modes that let developers fine-tune autonomy for both new and legacy #junie #jetbrains #phpstorm #agenticide #php #laravel #cursor #codeium #tabnine #github #copilot #aicoding #aiagent #crud #phpdev #webdev #fullstack #autonomous #multistepcoding #codegeneration #aitesting #seededdata #legacycode #projectguidelines #safecoding codebases.https://blog.jetbrains.com/phpstorm/2025/06/discover-junie-for-phpstorm/#

Artifacts turn anyone into an app creator—no coding needed. Just tell Claude your idea to instantly create shareable apps, tools, and games. Now developers can iterate faster on their AI apps without worrying about the complexity and cost of scaling for a growing audience. https://youtu.be/PBxwtabGltc?si=qEnyaIKHEOgS_7p0

NVIDIA's NIM API catalog offers Nemotron and Llama-3.1 models from compact edge variants to ultra-scale versions, supporting language, vision-language, coding, math, and specialized tasks. The diverse parameter sizes and modalities let developers balance accuracy with efficiency across PCs, on-device inference, and high-performance servers. Key Points: - Models range from 4B "nano" to 253B "ultra" parameters for flexible accuracy-efficiency tradeoffs - Multi-modal options combine text, image, and video understanding - Advanced reasoning, coding, and math capabilities for scientific and AI agent use cases - Edge-optimized variants enable low-latency, on-device inference - Bilingual Hindi-English model expands language support - 70B reward model facilitates RLHF for better human alignment - Emphasis on high inference efficiency and domain versatility https://build.nvidia.com/search/models?filters=publisher%3Anvidia&q=Nemotron&ncid=no-ncid

Introducing Gemma 3N: Enhancing AI Development with Google Gemma 3N is Google’s latest innovation designed to simplify the development of AI applications. This comprehensive tool offers a developer-friendly environment that facilitates building, training, and deploying AI models with ease. With features such as a streamlined user interface and robust integration capabilities, Gemma 3N aims to reduce the complexity of AI development processes, making it accessible to both experienced developers and those new to the field. Targeting a wide range of users, from tech startups to established enterprises, Gemma 3N provides extensive documentation and support to ensure that all users can take full advantage of its powerful capabilities. By enhancing efficiency and accessibility in AI development, Gemma 3N positions itself as a valuable resource for anyone looking to harness the potential of artificial intelligence. Hashtags #Gemma3N #GoogleAI #AIDevelopment #MachineLearning #TechTools #DeveloperResources #ArtificialIntelligence #AIEmpowerment #SoftwareDevelopment #DataScience #CloudComputing https://developers.googleblog.com/ja/introducing-gemma-3n-developer-guide/

Introducing Gemini CLI: Your Open-Source AI Agent Gemini CLI is a powerful open-source AI agent by Google designed to streamline development workflows by enabling users to leverage AI capabilities directly from the command line. This innovative tool enhances productivity by allowing developers to generate code snippets, automate tasks, and interact with APIs seamlessly, all through simple commands. Gemini CLI focuses on making AI more accessible and practical, particularly for tasks that require quick execution and integration into existing development environments. Key features include its ability to handle complex queries and provide context-aware responses, effectively assisting users with coding challenges and automating repetitive tasks. Whether you’re a seasoned developer or just starting, Gemini CLI offers a robust solution to enhance your coding experience without the overhead of traditional IDEs. Explore the potential of AI in your workflow with Gemini CLI and transform how you build and deploy applications. Hashtags #GeminiCLI #GoogleAI #OpenSource #AIagent #CommandLineTools #DeveloperTools #Automation #Productivity #AIInCoding #TechInnovation https://blog.google/technology/developers/introducing-gemini-cli-open-source-ai-agent/

Unlock the potential of AI with Anthropic's guide to prompt engineering for Claude! 🌟 This comprehensive resource helps developers craft effective prompts to maximize Claude's capabilities in various applications. Learn key strategies for optimizing your prompts to improve response quality and relevance, whether you're focused on creative writing, coding assistance, or more specialized tasks. With practical examples and detailed tips, you'll gain the insights needed to create powerful interactions with AI. Start enhancing your projects with Claude's advanced capabilities today! 🤖✨ #AIPromptEngineering #ClaudeAI #MachineLearning #TechInnovation #Anthropic#anthropic #claude #promptengineering #ai #artificialintelligence #promptdesign #machinelearning #largeLanguageModels #llm #nlp #naturalLanguageProcessing #promptoptimization #airesearch #aitools #googlebard #chatgpt #gemini #aiwriting #aicoding #aichatbot https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview

🚀 Unlock the Power of Model Context Protocol (MCP) with Sampling! 🌟 In the latest installment of the MCP crash course, we dive into sampling, one of the most powerful features of the protocol. This innovative approach allows servers to delegate tasks back to the client's LLM, enabling a seamless integration of AI functionalities without overwhelming server resources. Key Highlights: Bidirectional Architecture: While LLM clients typically invoke server logic, sampling lets servers request input from the client’s AI model, creating a more efficient workflow. Cost Efficiency: By transferring the burden of AI computation to the client, it reduces server load and associated costs. Flexibility & Scalability: Clients can choose their preferred models for different requests, which enhances application scalability and user customization. By implementing sampling, developers can build better, more responsive AI-driven applications. Discover how to optimize your MCP servers and improve the overall performance with practical examples and best practices in the full article! #AI #MachineLearning #TechInnovation #ModelContextProtocol #MCP #Sampling #ServerSideLogic #LLM #OpenSource #DevCommunity https://www.dailydoseofds.com/model-context-protocol-crash-course-part-5/