FPT Software AI Center’s Post

The Twin Project resulted in quite profound changes in the way of working. We have some rather bold claims of the CollabAI method: 100x faster iterations, 500x decision making speed and 90% of coordination meetings eliminated. The thing is, we haven't hallucinated these numbers - we do have the backing of the facts available and are the client projects are starting. We would love to tell more - contact me or Marko to learn how we can take your business forward. #CollabAI #ArtificialIntelligence #AITransformation

In our Twin-project (https://lnkd.in/eG5QeRpY), we explored how AI is transforming software development from idea to impact. We experimented with a new approach to working, which we call CollabAI (inspired by #MobAI), and are now sharing the results more publicly. Key results: - 100x faster iterations - 500x decision making speed - 90% coordination meetings eliminated By leveraging AI as a team, we have accelerated time to value, improved quality, and increased the impact of developed solutions. Interested in how this could apply to your organization? Contact me to discuss how CollabAI can elevate your digital business development. #CollabAI #ArtificialIntelligence #AITransformation

The GenAI Twin project was definetely time well spent. For us the best finding was without a doubt the CollabAI. As a way of working it doesn't require the business to be software development. We found out in practise that it is usable as such in omboarding new team members or developing as a team effort. I have said it several times already, AI is not about Tech, it is much more about how people are empowered to rethink and redesign their ways of working. #isstech #peoplemakeplaces #AI #GenAI #GenAITwin

Leveraging Artificial Intelligence (AI) is revolutionizing software development, enhancing performance, streamlining workflows, and improving code quality. Here's how AI can be a game-changer for developers: **Automation:** AI-driven tools automate repetitive tasks. AI-powered code generators and autocomplete features, like GitHub Copilot, speed up coding and reduce errors. **Intelligent Debugging:** AI enhances debugging and error detection. Tools like DeepCode and Snyk provide real-time feedback, suggesting fixes and highlighting vulnerabilities, ensuring robust and secure code. **Performance Optimization:** AI algorithms identify performance bottlenecks and suggest optimizations. They analyze vast amounts of data to provide actionable insights for improving application efficiency and user experience. **Predictive Analytics:** Machine learning (ML) models predict project timelines, identify risks, and recommend resource allocation. This helps project managers make informed decisions and keep projects on track and within budget. **AI-driven Testing:** Tools like Testim and Applitools use ML algorithms to create and execute test cases, identify anomalies, and perform visual testing, reducing manual effort and ensuring comprehensive test coverage. **Collaboration and Knowledge Sharing:** AI-powered chatbots and virtual assistants facilitate communication within development teams, providing instant access to documentation, code repositories, and troubleshooting resources. **Analytics for Team Performance:** AI-driven analytics tools analyze data on code commits, pull requests, and issue resolutions to optimize workflows and improve team efficiency. By embracing AI-driven tools and techniques, developers can tackle challenges more effectively and deliver high-quality software faster. AI empowers developers to focus on solving problems and creating innovative solutions, transforming the software development landscape. Embrace AI to unlock new levels of performance and creativity. #AIInDevelopment #SoftwareDevelopment #EnhancePerformance #Automation #MachineLearning #CodeQuality #PredictiveAnalytics #AIForTesting #TeamCollaboration #InnovationInTech #SolveChallenges

LLMWare.ai Selected for 2024 GitHub Accelerator: Enabling the Next Wave of Innovation in Enterprise RAG with Small Specialized Language Models https://lnkd.in/eg5zehTC LLMWare.ai has been recognized as a top open-source AI project and invited to join the 2024 GitHub Accelerator. Our focus on small, specialized language models offers advantages in integration, privacy, security, cost, and speed for enterprise processes. Practical Solutions and Value: - LLMWare offers an enterprise-grade RAG platform and specialized models for key automation tasks. - It is ideal for building high-quality, fact-based automation workflows and overcoming production scalability challenges. - The RAG Pipeline includes components for connecting knowledge sources to generative AI models. - We provide 50+ specialized models fine-tuned for enterprise process automation tasks. By integrating LLMs into workflows, orchestrating complex processes, and offering structured outputs, LLMWare.ai empowers developers to build sophisticated enterprise applications easily. AI Solutions for Enterprises: - Our AI Sales Bot from itinai.com/aisalesbot automates customer engagement and interaction management across all stages of the customer journey. For practical AI solutions and value-driven offerings, explore LLMWare.ai to evolve your company with AI and stay competitive. Achieving AI Success: - Locate key customer interaction points that can benefit from AI. - Ensure your AI endeavors have measurable impacts on business outcomes. - Choose tools that align with your needs and provide customization. - Start with a pilot, gather data, and expand AI usage judiciously. Contact us at hello@itinai.com for AI KPI management advice. Stay tuned on our Telegram (@itinai) or Twitter (@itinaicom) for continuous insights into leveraging AI. #productmanagement #ai #ainews #llm #ml #startup #innovation #uxproduct #artificialintelligence #machinelearning #technology #ux #datascience #deeplearning #tech #robotics #aimarketing #bigdata #computerscience #aibusiness #automation #aitransformation

From project planning to prototype development, AI is revolutionizing software development! AI tools help developers write code more efficiently, automate testing, and enhance test case quality—boosting innovation and speeding up product development. Learn more about how organizations are revolutionizing business operations with artificial intelligence development services in our latest blog >>> https://hubs.ly/Q02B4Xy50 #ascendle #ai #artificialintelligence #artificialintelligencedevelopmentservices #softwaredevelopment

Low-code + AI: Democratizing Innovation with Mendix? The rise of low-code platform: Mendix, coupled with the increasing accessibility of AI tools, is making it easier than ever to build intelligent applications. This empowers even non-technical users to create solutions with AI capabilities, fostering innovation at a rapid pace. Mendix offers built-in AI-assisted development tools like code suggestions, smart data management, and automated testing. These features streamline development and allow users to integrate AI functionalities without extensive coding knowledge. However, the question remains: Does low-code with AI democratize innovation or create a shortcut to complex problems? Effective AI integration still requires understanding its limitations and implementing responsible practices. What are your thoughts on the potential and challenges of combining low-code with AI? #lowcode #AI #Mendix #appdevelopment #digitaltransformatio #ML #tocndix #agile

Claude Engineer: An Interactive Command-Line Interface (CLI) that Leverages the Power of Anthropic’s Claude-3.5-Sonnet Model to Assist with Software Development Tasks https://lnkd.in/dP_KCPHD Introducing Claude Engineer: Simplifying Software Development with AI Software development can be complex and time-consuming, often leading to challenges in managing project structures, file operations, and code quality. This can hinder innovation and development. Practical Solutions and Value Meet Claude Engineer: an AI tool that combines various features into an interactive command-line interface (CLI). It leverages the power of Claude-3.5-Sonnet to assist with tasks such as file operations, web search, project management, code analysis, and image handling, all through a simple chat interface. Key features include real-time assistance, simplified file operations, web search integration, code snippet highlighting, code analysis, and image handling capabilities. It streamlines project setup, enhances code quality, provides access to up-to-date information, and supports visual data handling. Claude Engineer offers a significant step in simplifying software development by addressing common challenges, streamlining workflows, and improving productivity. Evolve Your Company with AI Discover how AI can redefine your work processes and customer engagement. Identify automation opportunities, define KPIs, select AI solutions, and implement gradually. For AI KPI management advice, connect with us at hello@itinai.com. Stay tuned for continuous insights into leveraging AI on our Telegram or Twitter. Discover how AI can redefine your sales processes and customer engagement. Explore solutions at itinai.com. List of Useful Links: AI Lab in Telegram @itinai – free consultation Twitter – @itinaicom #SoftwareDevelopment #AI #ArtificialIntelligence #ClaudeEngineer #ITInnovation #productmanagement #ai #ainews #llm #ml #startup #innovation #uxproduct #artificialintelligence #machinelearning #technology #ux #datascience #deeplearning #tech #robotics #aimarketing #bigdata #computerscience #aibusiness #automation #aitransformation

🚀 Introducing OpenDevin: The Future of AI Software Development 💻 We are delighted to share an incredible research paper titled "OpenDevin: An Open Platform for AI Software Developers as Generalist Agents." This paper presents OpenDevin, a revolutionary platform designed to empower AI agents to interact with the world through software, just like human developers. Why is This Paper Useful? ➡️ OpenDevin stands out as a comprehensive platform that simplifies the development, deployment, and evaluation of AI agents. It bridges the gap between AI capabilities and practical software engineering, offering a versatile and powerful framework for creating AI agents that can write code, browse the web, and execute tasks in a sandboxed environment. Key Insights: ➡️ Generalist and Specialist Agents: OpenDevin supports the development of both generalist and specialist AI agents, enabling them to handle a wide range of tasks from software engineering to web browsing and beyond. ➡️ Interaction Mechanism: The platform features an advanced event stream architecture that allows seamless interaction between user interfaces, agents, and environments, ensuring smooth execution and real-time feedback. ➡️ Sandboxed Environment: OpenDevin provides a secure, isolated environment for code execution, ensuring safe and reliable operations without affecting the host system. ➡️ Multi-Agent Collaboration: The platform facilitates coordination between multiple specialized agents, enhancing their collective ability to tackle complex tasks efficiently. ➡️ Comprehensive Evaluation: OpenDevin includes a robust evaluation framework with 15 benchmarks across various domains, allowing for systematic assessment of agent performance. 🔥 Explore more cutting-edge strategies and network with top industry leaders at the DataHack Summit 2024. Join us in defining the new world order in Generative AI this August in Bengaluru: https://lnkd.in/gAsFp6w7 #AnalyticsVidhya #DataHackSummit2024 #DHS2024

What if your AI tools could collaborate like a well-oiled team? Imagine the impact on software development if AI products could share information and work together. This research dives into that possibility by integrating commercial AI tools to boost performance. ★ Unlocking Multi-Agent Systems The study highlights how combining different AI tools can elevate the software development process. It shows that multi-agent systems are a game-changer for tackling complex tasks. ▸ Collaboration is key - Specialized AI models enhance problem-solving. ▸ Integration matters - Connecting tools improves overall performance. ▸ Real-world applications - Commercial products can work together effectively. ★ Experimenting with AI The researchers tested this theory with 99 developers using the following tools and setups: ▸ Control Group - Developers worked in VS Code without GitHub Copilot and received project requirements in a separate document. ▸ Copilot Group - Developers used VS Code with GitHub Copilot enabled, also receiving project requirements in a separate document. ▸ Copilot Enhanced Group - Developers used VS Code with GitHub Copilot, but their project requirements were pre-seeded in a neighboring tab from Crowdbotics PRD AI, allowing better context for the AI. The results were clear: giving Copilot access to business requirements led to significantly better outcomes. ★ Key Takeaways for the Future The findings show that integrating commercial AI products can enhance performance in software development: ▸ Context is crucial - Relevant information leads to better AI suggestions. ▸ Collaboration enhances productivity - Teams benefit from shared insights. ▸ A collaborative future is possible - AI tools can work together for superior results. As we move forward, embracing multi-agent systems could reshape how we approach software development. #AIResearch #AI #AIAgents #GenAI #FluffyMuffins #SoftwareDevelopment #MultiAgentSystems