Best AI tools for< Build Development Team >

Pangea.ai is a leading talent aggregator that helps businesses hire quality technologists by comparing data points for reliable matching. It offers a unified hiring experience in a fragmented market, making it easier to compare and decide among the numerous software development agencies and talent networks available. Pangea.ai's intelligent matching system considers over 100 data points to find the best fit for businesses, while its rigorous vetting process evaluates expertise, client satisfaction, and team health. Businesses can choose to self-serve their way to a hire or opt for Pangea.ai's white-glove matching service.

MindsDB is an AI development cloud platform that enables developers to customize AI for their specific needs and purposes. It provides a range of features and tools for building, deploying, and managing AI models, including integrations with various data sources, AI engines, and applications. MindsDB aims to make AI more accessible and useful for businesses and organizations by allowing them to tailor AI solutions to their unique requirements.

Tavus is an AI tool that offers digital twin APIs for video generation and conversational video interfaces. It allows users to create immersive AI-generated video experiences using cutting-edge AI technology. Tavus provides best-in-class models like Phoenix-2 for creating realistic digital replicas with natural face movements. The platform offers rapid training, instant inference, support for 30+ languages, and built-in security features to ensure user privacy and safety. Tavus is preferred by developers and product teams for its developer-first approach, ease of integration, and exceptional customer service.

Diffblue Cover is an autonomous AI-powered unit test writing tool for Java development teams. It uses next-generation autonomous AI to automate unit testing, freeing up developers to focus on more creative work. Diffblue Cover can write a complete and correct Java unit test every 2 seconds, and it is directly integrated into CI pipelines, unlike AI-powered code suggestions that require developers to check the code for bugs. Diffblue Cover is trusted by the world's leading organizations, including Goldman Sachs, and has been proven to improve quality, lower developer effort, help with code understanding, reduce risk, and increase deployment frequency.

Code Snippets AI is an AI-powered code snippets library for teams. It helps developers master their codebase with contextually-rich AI chats, integrated with a secure code snippets library. Developers can build new features, fix bugs, add comments, and understand their codebase with the help of Code Snippets AI. The tool is trusted by the best development teams and helps developers code smarter than ever. With Code Snippets AI, developers can leverage the power of a codebase aware assistant, helping them write clean, performance optimized code. They can also create documentation, refactor, debug and generate code with full codebase context. This helps developers spend more time creating code and less time debugging errors.

Patched is an open-source workflow automation framework designed for development teams to build AI workflows that automate code reviews, documentation, and patches. It offers ready-to-go patchflows or the ability to create custom ones to accelerate mundane development tasks. Patched integrates seamlessly with popular platforms like Gitlab, GitHub, Jira, and more, allowing users to improve code quality, fix bugs, and create tickets efficiently. The application is privacy-focused, allowing users to deploy it within their own infrastructure for complete privacy. Patched is free and open-source, offering customization options via code or a no-code builder.

GitHub Next is a research and development team at GitHub that explores the future of software development. The team prototypes tools and technologies that will change the way we build software, and identifies new approaches to building healthy, productive software engineering teams.

Quest is a web-based application that allows users to generate React code from their designs. It incorporates AI models to generate real, useful code that incorporates all the things professional developers care about. Users can use Quest to build new applications, add to existing applications, and create design systems and libraries. Quest is made for development teams and integrates with the design and dev tools that users love. It is also built for the most demanding product teams and can be used to build new applications, build web pages, and create component templates.

Figma is a collaborative interface design tool that allows design and development teams to work together seamlessly. It offers features such as design and prototyping in one place, collaboration with a digital whiteboard, translating designs into code, creating presentations, and exploring AI features. Figma helps streamline the product development process by providing tools for design systems, prototyping, UX design, web design, wireframing, and more. It aims to bring design and development teams together to build great products efficiently.

Fathom is an AI-powered note-taking tool that helps you record, transcribe, and summarize your meetings. It integrates with Zoom and Google Meet, and offers a range of features to help you stay organized and productive. **Key Features** * **Automatic recording and transcription:** Fathom automatically records and transcribes your meetings, so you can focus on the conversation instead of taking notes. * **AI-generated summaries:** Fathom uses AI to generate summaries of your meetings, which can save you time and help you identify key takeaways. * **Highlighting and bookmarking:** You can highlight and bookmark important moments in your meetings, so you can easily find them later. * **Sharing and collaboration:** You can share your meeting recordings and summaries with others, and collaborate on notes and action items. * **Integrations:** Fathom integrates with a range of other tools, including Zoom, Google Meet, Slack, and Asana. **Benefits** * **Save time:** Fathom can save you hours of time by automatically recording and transcribing your meetings. * **Stay organized:** Fathom helps you stay organized by providing a central place to store your meeting recordings and notes. * **Improve productivity:** Fathom can help you improve your productivity by providing you with easy access to the information you need from your meetings. * **Make better decisions:** Fathom can help you make better decisions by providing you with a clear understanding of what was discussed in your meetings. **Pricing** Fathom is free to use for individuals. There is also a paid Team Edition that offers additional features, such as: * **Unlimited storage:** The Team Edition gives you unlimited storage for your meeting recordings and notes. * **Team management:** The Team Edition allows you to manage your team's access to Fathom. * **Custom branding:** The Team Edition allows you to customize Fathom with your own branding. **Alternatives** * Otter.ai * Trint * Descript * Rev **Use Cases** * **Sales:** Fathom can help sales teams track their progress and identify opportunities. * **Customer success:** Fathom can help customer success teams build relationships with their customers and resolve issues quickly. * **Product development:** Fathom can help product development teams gather feedback from users and improve their products. * **Marketing:** Fathom can help marketing teams track the effectiveness of their campaigns and generate leads. * **Education:** Fathom can help educators record and share lectures and other materials with students. **FAQ** **Q: How much does Fathom cost?** A: Fathom is free to use for individuals. There is also a paid Team Edition that offers additional features. **Q: What are the benefits of using Fathom?** A: Fathom can save you time, help you stay organized, improve your productivity, and make better decisions. **Q: What are the alternatives to Fathom?** A: Some alternatives to Fathom include Otter.ai, Trint, Descript, and Rev. **Q: What are some use cases for Fathom?** A: Fathom can be used for a variety of purposes, including sales, customer success, product development, marketing, and education.

Teammately is an AI tool that redefines how Human AI-Engineers build AI. It is an Agentic AI for AI development process, designed to enable Human AI-Engineers to focus on more creative and productive missions in AI development. Teammately follows the best practices of Human LLM DevOps and offers features like Development Prompt Engineering, Knowledge Tuning, Evaluation, and Optimization to assist in the AI development process. The tool aims to revolutionize AI engineering by allowing AI AI-Engineers to handle technical tasks, while Human AI-Engineers focus on planning and aligning AI with human preferences and requirements.

Blitzware is an AI-powered platform that empowers enterprises to build bespoke software solutions. Operating as a collaborative hub, Blitzware's autonomous studios specialize in various app categories, delivering cutting-edge digital solutions through fullstack development, mobile development, AI & Data Science, and Cloud & DevOps services. The platform also offers creative services such as UI/UX design, art direction, illustration, branding, and product management. With a client-centric approach, Blitzware prioritizes client needs and feedback, delivering quick results and innovative solutions to propel businesses forward.

Clarion Technologies is an AI-assisted development company that offers a wide range of software development services, including custom software development, web app development, mobile app development, cloud solutions, and Power BI solutions. They provide services for various technologies such as React Native, Java, Python, PHP, Laravel, and more. With a focus on AI-driven planning and Agile Project Execution Methodology, Clarion Technologies ensures top-quality results with faster time to market. They have a strong commitment to data security, compliance, and privacy, and offer on-demand access to skilled developers and tech architects.

Console is a REST API development tool that helps developers design, build, test, and document REST APIs. It provides a user-friendly interface for creating and managing API specifications, generating code in multiple languages, and testing APIs with mock servers. Console also includes documentation features for generating API documentation and interactive API playgrounds.

Xamun is an AI-augmented software development platform that brings together the latest AI technologies, expert development partners, and best practices in a single platform. It offers visibility, quality, and speed throughout the entire software development lifecycle. Users can design custom software, build automated workflows, generate product ideas, and benefit from AI-powered solutions for various industries and use cases.

GptSdk is an AI tool that simplifies incorporating AI capabilities into PHP projects. It offers dynamic prompt management, model management, bulk testing, collaboration chaining integration, and more. The tool allows developers to develop professional AI applications 10x faster, integrates with Laravel and Symfony, and supports both local and API prompts. GptSdk is open-source under the MIT License and offers a flexible pricing model with a generous free tier.

Codimite is an AI-assisted offshore development company that provides a range of services to help businesses accelerate their software development, reduce costs, and drive innovation. Codimite's team of experienced engineers and project managers use AI-powered tools and technologies to deliver exceptional results for their clients. The company's services include AI-assisted software development, cloud modernization, and data and artificial intelligence solutions.

Hubdevs offers Software Development as a Subscription (SDAAS) services, specializing in helping startups build their Minimum Viable Product (MVP) quickly and efficiently. With expertise in AI API integration, full-stack development, mobile development, and UI/UX design, Hubdevs provides end-to-end software solutions tailored to the unique needs of startups. Their agile development approach and experienced team enable them to deliver high-quality software solutions on tight timelines, allowing startups to focus on their core business and launch their products within days.

Tome is an AI assistant for sales, designed to enhance sales teams' productivity and efficiency. It offers a new way to research accounts, providing a 360° view of every account, personalized outreach capabilities, and meeting preparation assistance. Tome is used by over 10,000 teams and is engineered to be a second brain for sales professionals, trained on value frameworks and sales data to gather strategic initiatives and understand customers in the Ideal Customer Profile (ICP). It leverages public web and internal data sources to extract valuable insights for sales teams.

Bitscale is an AI tool designed to help growth teams build scalable AI workflows. It empowers growth teams to research prospects, personalize reachouts, and generate A+ content. The tool allows users to research prospects at scale in an intuitive spreadsheet UI, enrich data from 20+ sources, and build outreach campaigns in an Excel-like interface. With features like sales booster, personalized outreach, and utilizing powerful enrichment from Google News and landing pages, Bitscale aims to enhance lead profiles and provide unmatched speed and scalability for marketing challenges. Trusted by fast-growing companies worldwide, Bitscale offers marketing magic by finding topics, generating SEO-optimized content, and helping users rank on Google quickly.

The Slack Bot is a tool designed to enhance the workflow of development teams by integrating with Jenkins, GitHub, GitLab, and Jira. It allows for custom commands, macros, crons, and project-specific commands to be implemented easily. Users can interact with the bot through Slack messages, execute commands, and monitor job progress. The bot supports features like starting and monitoring Jenkins jobs, tracking pull requests, querying Jira information, creating buttons for interactions, generating images with DALL-E, playing quiz games, checking weather, defining custom commands, and more. Configuration is managed via YAML files, allowing users to set up credentials for external services, define custom commands, schedule cron jobs, and configure VCS systems like Bitbucket for automated branch lookup in Jenkins triggers.

Sourcegraph is a tool that simplifies reading, writing, and fixing code in large and complex codebases. It offers features such as code search across repositories, code intelligence for code navigation and history tracing, and the ability to roll out large-scale changes to multiple repositories simultaneously. Sourcegraph can be used on the cloud or self-hosted, and provides public code search on Sourcegraph.com. The tool is designed to enhance code understanding and collaboration within development teams.

Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. It is designed to be easy to get started with and simple to use for Java developers. DJL provides a native Java development experience and allows users to integrate machine learning and deep learning models with their Java applications. The framework is deep learning engine agnostic, enabling users to switch engines at any point for optimal performance. DJL's ergonomic API interface guides users with best practices to accomplish deep learning tasks, such as running inference and training neural networks.

PentestGPT provides advanced AI and integrated tools to help security teams conduct comprehensive penetration tests effortlessly. Scan, exploit, and analyze web applications, networks, and cloud environments with ease and precision, without needing expert skills. The tool utilizes Supabase for data storage and management, and Vercel for hosting the frontend. It offers a local quickstart guide for running the tool locally and a hosted quickstart guide for deploying it in the cloud. PentestGPT aims to simplify the penetration testing process for security professionals and enthusiasts alike.

KaibanJS is a JavaScript-native framework for building multi-agent AI systems. It enables users to create specialized AI agents with distinct roles and goals, manage tasks, and coordinate teams efficiently. The framework supports role-based agent design, tool integration, multiple LLMs support, robust state management, observability and monitoring features, and a real-time agentic Kanban board for visualizing AI workflows. KaibanJS aims to empower JavaScript developers with a user-friendly AI framework tailored for the JavaScript ecosystem, bridging the gap in the AI race for non-Python developers.

Wingman AI allows you to use your voice to talk to various AI providers and LLMs, process your conversations, and ultimately trigger actions such as pressing buttons or reading answers. Our _Wingmen_ are like characters and your interface to this world, and you can easily control their behavior and characteristics, even if you're not a developer. AI is complex and it scares people. It's also **not just ChatGPT**. We want to make it as easy as possible for you to get started. That's what _Wingman AI_ is all about. It's a **framework** that allows you to build your own Wingmen and use them in your games and programs. The idea is simple, but the possibilities are endless. For example, you could: * **Role play** with an AI while playing for more immersion. Have air traffic control (ATC) in _Star Citizen_ or _Flight Simulator_. Talk to Shadowheart in Baldur's Gate 3 and have her respond in her own (cloned) voice. * Get live data such as trade information, build guides, or wiki content and have it read to you in-game by a _character_ and voice you control. * Execute keystrokes in games/applications and create complex macros. Trigger them in natural conversations with **no need for exact phrases.** The AI understands the context of your dialog and is quite _smart_ in recognizing your intent. Say _"It's raining! I can't see a thing!"_ and have it trigger a command you simply named _WipeVisors_. * Automate tasks on your computer * improve accessibility * ... and much more

AirCasting is a platform for gathering, visualizing, and sharing environmental data. It aims to provide a central hub for environmental data, making it easier for people to access and use this information to make informed decisions about their environment.

Gemini Android is a repository showcasing Google's Generative AI on Android using Stream Chat SDK for Compose. It demonstrates the Gemini API for Android, implements UI elements with Jetpack Compose, utilizes Android architecture components like Hilt and AppStartup, performs background tasks with Kotlin Coroutines, and integrates chat systems with Stream Chat Compose SDK for real-time event handling. The project also provides technical content, instructions on building the project, tech stack details, architecture overview, modularization strategies, and a contribution guideline. It follows Google's official architecture guidance and offers a real-world example of app architecture implementation.

VectorETL is a lightweight ETL framework designed to assist Data & AI engineers in processing data for AI applications quickly. It streamlines the conversion of diverse data sources into vector embeddings and storage in various vector databases. The framework supports multiple data sources, embedding models, and vector database targets, simplifying the creation and management of vector search systems for semantic search, recommendation systems, and other vector-based operations.

OpenVINO™ AI Plugins for Audacity* are a set of AI-enabled effects, generators, and analyzers for Audacity®. These AI features run 100% locally on your PC -- no internet connection necessary! OpenVINO™ is used to run AI models on supported accelerators found on the user's system such as CPU, GPU, and NPU. * **Music Separation**: Separate a mono or stereo track into individual stems -- Drums, Bass, Vocals, & Other Instruments. * **Noise Suppression**: Removes background noise from an audio sample. * **Music Generation & Continuation**: Uses MusicGen LLM to generate snippets of music, or to generate a continuation of an existing snippet of music. * **Whisper Transcription**: Uses whisper.cpp to generate a label track containing the transcription or translation for a given selection of spoken audio or vocals.

spaCy is an industrial-strength Natural Language Processing (NLP) library in Python and Cython. It incorporates the latest research and is designed for real-world applications. The library offers pretrained pipelines supporting 70+ languages, with advanced neural network models for tasks such as tagging, parsing, named entity recognition, and text classification. It also facilitates multi-task learning with pretrained transformers like BERT, along with a production-ready training system and streamlined model packaging, deployment, and workflow management. spaCy is commercial open-source software released under the MIT license.

Civitai is a platform where people can share their stable diffusion models (textual inversions, hypernetworks, aesthetic gradients, VAEs, and any other crazy stuff people do to customize their AI generations), collaborate with others to improve them, and learn from each other's work. The platform allows users to create an account, upload their models, and browse models that have been shared by others. Users can also leave comments and feedback on each other's models to facilitate collaboration and knowledge sharing.

LangTest is a comprehensive evaluation library for custom LLM and NLP models. It aims to deliver safe and effective language models by providing tools to test model quality, augment training data, and support popular NLP frameworks. LangTest comes with benchmark datasets to challenge and enhance language models, ensuring peak performance in various linguistic tasks. The tool offers more than 60 distinct types of tests with just one line of code, covering aspects like robustness, bias, representation, fairness, and accuracy. It supports testing LLMS for question answering, toxicity, clinical tests, legal support, factuality, sycophancy, and summarization.

Ollama4j is a Java library that serves as a wrapper or binding for the Ollama server. It facilitates communication with the Ollama server and provides models for deployment. The tool requires Java 11 or higher and can be installed locally or via Docker. Users can integrate Ollama4j into Maven projects by adding the specified dependency. The tool offers API specifications and supports various development tasks such as building, running unit tests, and integration tests. Releases are automated through GitHub Actions CI workflow. Areas of improvement include adhering to Java naming conventions, updating deprecated code, implementing logging, using lombok, and enhancing request body creation. Contributions to the project are encouraged, whether reporting bugs, suggesting enhancements, or contributing code.

The Artificial Intelligence Incident Database (AIID) is a collection of incidents involving the development and use of artificial intelligence (AI). The database is designed to help researchers, policymakers, and the public understand the potential risks and benefits of AI, and to inform the development of policies and practices to mitigate the risks and promote the benefits of AI. The AIID is a collaborative project involving researchers from the University of California, Berkeley, the University of Washington, and the University of Toronto.

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