Best AI tools for< Automate Code Optimization >

CodeRabbit is an innovative AI code review platform that streamlines and enhances the development process. By automating reviews, it dramatically improves code quality while saving valuable time for developers. The system offers detailed, line-by-line analysis, providing actionable insights and suggestions to optimize code efficiency and reliability. Trusted by hundreds of organizations and thousands of developers daily, CodeRabbit has processed millions of pull requests. Backed by CRV, CodeRabbit continues to revolutionize the landscape of AI-assisted software development.

DevAI is an AI-powered platform designed to assist developers in enhancing their productivity and efficiency. It offers a wide range of tools and features to streamline the development process, from code generation to debugging. With its advanced algorithms and machine learning capabilities, DevAI aims to revolutionize the way developers work and collaborate on projects.

Office Kube Workflow is an AI-powered productivity tool that offers fully configured workspaces, high degree of workflow automation, workflow extensibility, cloud power leverage, and support for team/organization workflows. It incorporates AI capabilities to boost productivity by enabling seamless creation of artifacts, troubleshooting, and code optimization within the workspace. The platform is designed with enterprise-grade quality focusing on security, scalability, and resilience.

Numvio's APEX is a groundbreaking no-code AI platform that empowers businesses to unlock the full potential of their data and drive real impact. With APEX, you can effortlessly implement customized AI solutions, delivered as user-friendly tools or APIs, without the need for complex tech infrastructure or coding expertise. APEX intelligently analyzes your data's potential and provides valuable insights, helping you make informed decisions and drive your business forward.

Fibr AI is a personalized landing page platform that uses AI to deliver ultra-personalized experiences for every ad, email, or audience. With Fibr, businesses can create relevant landing pages for every ad and deliver personalized experiences dynamically, without any coding or hassle. Fibr's key features include a WYSIWYG editor, dynamic web personalization, ad connect, bulk creation, audience building, AI personalizations at scale, A/B testing, reporting and analytics, and integrations with popular marketing platforms. Fibr's benefits include increased conversions, reduced customer acquisition costs, and improved ROI. Fibr is suitable for businesses of all sizes and industries, and is particularly beneficial for businesses with high customer acquisition costs or low conversion rates.

Coframe is an AI-powered tool designed to automate website growth 24/7. It offers features such as Ad-To-Page Optimization, UI Code Generation, Segmentation and Personalization, and more. Coframe continuously learns from data to propose and test variations for digital experiences, providing substantial lift within days. It is built for enterprise marketing teams, ensuring brand alignment and scalability. The tool is recognized for its impact on visits to victories, cross-channel alignment, personalization, scalability, and visibility.

CodeAI is an advanced AI tool designed to optimize the development process for coders of all levels. It offers cutting-edge AI capabilities to enhance coding efficiency, provide real-time feedback, automate tasks like generating commit messages and updating changelogs, and boost productivity. CodeAI supports multiple programming languages and is suitable for individual developers, small teams, and professionals working on various projects.

Captain Case Studies is an AI-powered content strategy and lead generation tool designed for agencies to automate content creation, optimization, and lead identification. The tool leverages a no-code AI engine to create engaging content, optimize it with various engagement tools, and identify website visitors in real-time to enhance sales conversion rates. With features like automated content creation, engagement tools, lead identification, and insights tracking, Captain Case Studies streamlines the content marketing process and helps agencies drive more traffic and conversions. The tool is praised by users for its ability to improve conversion rates, drive user engagement, and provide valuable insights for content strategy optimization.

SEOmatic is an AI-powered tool designed to boost website traffic through programmatic SEO features. It helps users automate and scale web pages for SEO and PPC strategies on any CMS platform, leading to a significant increase in traffic, leads, and sales. With SEOmatic, users can create personalized, data-driven content marketing at scale without the need for coding skills. The tool offers friendly pricing, a 7-day free trial, and the flexibility to cancel anytime, making it a valuable asset for marketing teams looking to drive high-quality, targeted leads to their websites.

Superjoin is an AI-powered tool that allows users to automatically pull data from various tools into Google Sheets without the need for writing any code. It offers features like one-click connectors, auto-refresh schedules, data preview, and the ability to send report screenshots to Slack and Email. Superjoin is loved by thousands of users across hundreds of companies for its efficiency in automating workflows and data management.

Tiledesk is an AI tool that enables users to automate business workflows and operations with customizable AI Agents. It allows users to build autonomous AI Agents to automate customer support and internal processes, enhancing engagement, efficiency, and driving growth. Tiledesk offers features such as no-code implementation, scalability, and a visual AI builder. The application is recommended for various industries, including E-commerce, Healthcare, Financial Services, Telecom, Tourism, Manufacturing, Education, and Professional Services.

Feathery is an AI-powered platform that enables users to create powerful forms and workflows without the need for coding. It offers advanced features such as AI data extraction, document intelligence, signatures, and collaboration tools. Feathery caters to various industries like insurance, healthcare, financial services, software, and education, providing solutions to streamline processes and enhance user experiences. The platform is designed to automate form workflows, extract and fill documents, and connect with different systems, making it a versatile tool for data management and workflow optimization.

Synthace is a software and expertise platform designed for Discovery Biology Teams to streamline and optimize their experiments in assay development, media optimization, and purification process development. The platform offers software solutions, training, and on-site support from specialists to help scientists conduct experiments more efficiently and effectively. By leveraging multifactorial methods and automation, Synthace aims to accelerate drug discovery processes and deliver faster, definitive results.

Markopolo is an e-commerce growth platform that helps businesses increase sales, improve ad efficiency, and enhance marketing outcomes. It offers a range of solutions for agencies, e-commerce businesses, and enterprises, including data unification, analytics, ad optimization, and reporting. Markopolo leverages AI to provide precise targeting, optimization, advanced attribution, and seamless automation, enabling businesses to maximize their marketing ROI.

Engine is an AI software engineer tool designed for teams to streamline software development processes. It connects to popular project management tools like Jira, Trello, Linear, and more, automating tasks such as turning tickets into pull requests. Engine can complete up to 50% of tickets in minutes without supervision, helping teams ship faster and keep backlogs under control. It works seamlessly with existing workflows and tools, providing AI-powered engineering support to improve productivity and efficiency.

Surface Labs is an AI-powered platform that offers forms to collect, nurture, and qualify leads for businesses. It provides a no-code form builder, AI lead qualification, and powerful inbound workflows to boost form conversions and streamline the lead generation process. The platform is designed for marketing and demand gen agencies, CRO specialists, and lead generation professionals to enhance their marketing efforts and improve lead quality. With Surface Labs, users can create personalized inbound funnels, automate workflows, and receive highly qualified leads with detailed data insights.

Airtable is a next-gen app-building platform that enables teams to create custom business apps without the need for coding. It offers features like AI integration, connected data, automations, interface design, and data visualization. Airtable allows users to manage security, permissions, and data protection at scale. The platform also provides integrations with popular tools like Slack, Google Drive, and Salesforce, along with an extension marketplace for additional templates and apps. Users can streamline workflows, automate processes, and gain insights through reporting and analytics.

Harness is an AI-driven software delivery platform that empowers software engineering teams with AI-infused technology for seamless software delivery. It offers a single platform for all software delivery needs, including DevOps modernization, continuous delivery, GitOps, feature flags, infrastructure as code management, chaos engineering, service reliability management, secure software delivery, cloud cost optimization, and more. Harness aims to simplify the developer experience by providing actionable insights on SDLC, secure software supply chain assurance, and AI development assistance throughout the software delivery lifecycle.

Dang.ai is an AI Tools Directory that provides a comprehensive list of AI tools and services. It offers a platform for users to discover and explore various AI-powered applications across different categories such as image design, writing, business, chat, audio, chatbot, art, productivity, video, TTS, marketing, code search, and more. Users can find tools for automating emails, marketing strategies, content optimization, video summarization, writing enhancement, anime art generation, web accessibility, survey platforms, sketch rendering, content generation, highlight finding, web accessibility, digital commerce insights, study tools, photo editing, drug development, media creation, logo design, and much more.

Coho AI is a Customer Journey Optimization & Retention Management System that helps businesses maximize revenue by personalizing user experiences. The AI tool uses data analysis, intelligent segmentation, and personalized journeys to drive growth and engagement. Coho AI simplifies the process of understanding user needs and struggles at scale, empowering growth managers to focus on driving growth effectively. The tool offers transformative benefits such as no-code setup, real-time action, and smart automation for boosting retention, conversions, and lifetime value.

DeGPT is a tool designed to optimize decompiler output using Large Language Models (LLM). It requires manual installation of specific packages and setting up API key for OpenAI. The tool provides functionality to perform optimization on decompiler output by running specific scripts.

A curated list of Generative AI projects, tools, artworks, and models

This repository contains code snippets and examples from the 100x Applied AI cohort lectures. It includes implementations of LLM Workflows, RAG (Retrieval Augmented Generation), Agentic Patterns, Chat Completions with various providers, Function Calling, and more. The repository structure consists of core components like LLM Workflows, RAG Implementations, Agentic Patterns, Chat Completions, Function Calling, Hugging Face Integration, and additional components for various agent implementations, presentation generation, Notion API integration, FastAPI-based endpoints, authentication implementations, and LangChain usage examples.

Noema is a framework that enables developers to control a language model and choose the path it will follow. It integrates Python with llm's generations, allowing users to use LLM as a thought interpreter rather than a source of truth. Noema is built on llama.cpp and guidance's shoulders. It applies the declarative programming paradigm to a language model, providing a way to represent functions, descriptions, and transformations. Users can create subjects, think about tasks, and generate content through generators, selectors, and code generators. Noema supports ReAct prompting, visualization, and semantic Python functionalities, offering a versatile tool for automating tasks and guiding language models.

The LLM Twin Course is a free, end-to-end framework for building production-ready LLM systems. It teaches you how to design, train, and deploy a production-ready LLM twin of yourself powered by LLMs, vector DBs, and LLMOps good practices. The course is split into 11 hands-on written lessons and the open-source code you can access on GitHub. You can read everything and try out the code at your own pace.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.

This repository contains custom recipes for H2O Driverless AI, which is an Automatic Machine Learning platform for the Enterprise. Custom recipes are Python code snippets that can be uploaded into Driverless AI at runtime to automate feature engineering, model building, visualization, and interpretability. Users can gain control over the optimization choices made by Driverless AI by providing their own custom recipes. The repository includes recipes for various tasks such as data manipulation, data preprocessing, feature selection, data augmentation, model building, scoring, and more. Best practices for creating and using recipes are also provided, including security considerations, performance tips, and safety measures.

Collective Mind (CM) is a collection of portable, extensible, technology-agnostic and ready-to-use automation recipes with a human-friendly interface (aka CM scripts) to unify and automate all the manual steps required to compose, run, benchmark and optimize complex ML/AI applications on any platform with any software and hardware: see online catalog and source code. CM scripts require Python 3.7+ with minimal dependencies and are continuously extended by the community and MLCommons members to run natively on Ubuntu, MacOS, Windows, RHEL, Debian, Amazon Linux and any other operating system, in a cloud or inside automatically generated containers while keeping backward compatibility - please don't hesitate to report encountered issues here and contact us via public Discord Server to help this collaborative engineering effort! CM scripts were originally developed based on the following requirements from the MLCommons members to help them automatically compose and optimize complex MLPerf benchmarks, applications and systems across diverse and continuously changing models, data sets, software and hardware from Nvidia, Intel, AMD, Google, Qualcomm, Amazon and other vendors: * must work out of the box with the default options and without the need to edit some paths, environment variables and configuration files; * must be non-intrusive, easy to debug and must reuse existing user scripts and automation tools (such as cmake, make, ML workflows, python poetry and containers) rather than substituting them; * must have a very simple and human-friendly command line with a Python API and minimal dependencies; * must require minimal or zero learning curve by using plain Python, native scripts, environment variables and simple JSON/YAML descriptions instead of inventing new workflow languages; * must have the same interface to run all automations natively, in a cloud or inside containers. CM scripts were successfully validated by MLCommons to modularize MLPerf inference benchmarks and help the community automate more than 95% of all performance and power submissions in the v3.1 round across more than 120 system configurations (models, frameworks, hardware) while reducing development and maintenance costs.

The 'llm-strategy' repository implements the Strategy Pattern using Large Language Models (LLMs) like OpenAI’s GPT-3. It provides a decorator 'llm_strategy' that connects to an LLM to implement abstract methods in interface classes. The package uses doc strings, type annotations, and method/function names as prompts for the LLM and can convert the responses back to Python data. It aims to automate the parsing of structured data by using LLMs, potentially reducing the need for manual Python code in the future.

The Awesome-LLM-Post-training repository is a curated collection of influential papers, code implementations, benchmarks, and resources related to Large Language Models (LLMs) Post-Training Methodologies. It covers various aspects of LLMs, including reasoning, decision-making, reinforcement learning, reward learning, policy optimization, explainability, multimodal agents, benchmarks, tutorials, libraries, and implementations. The repository aims to provide a comprehensive overview and resources for researchers and practitioners interested in advancing LLM technologies.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

Here we will keep track of the AI Game Development Tools, including LLM, Agent, Code, Writer, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥 * Tool (AI LLM) * Game (Agent) * Code * Framework * Writer * Image * Texture * Shader * 3D Model * Avatar * Animation * Video * Audio * Music * Singing Voice * Speech * Analytics * Video Tool

MediaAI is a repository containing lectures and materials for Aalto University's AI for Media, Art & Design course. The course is a hands-on, project-based crash course focusing on deep learning and AI techniques for artists and designers. It covers common AI algorithms & tools, their applications in art, media, and design, and provides hands-on practice in designing, implementing, and using these tools. The course includes lectures, exercises, and a final project based on students' interests. Students can complete the course without programming by creatively utilizing existing tools like ChatGPT and DALL-E. The course emphasizes collaboration, peer-to-peer tutoring, and project-based learning. It covers topics such as text generation, image generation, optimization, and game AI.

TheCodersGig is an AI-powered open-source social network platform for developers, facilitating seamless connection and collaboration. It features an integrated utility marketplace for creating plugins easily, automating backend development with scalable code. The user-friendly interface supports API integration, data models, databases, authentication, and authorization. The platform's architecture includes frontend, backend, AI services, database, marketplace, security, and DevOps layers, enabling customization and diverse integrations. Key components encompass technologies like React.js, Node.js, Python-based AI frameworks, SQL/NoSQL databases, payment gateways, security protocols, and DevOps tools for automation and scalability.

The Oracle Cloud Infrastructure Data Science and AI services Examples repository provides demos, tutorials, and code examples showcasing various features of the OCI Data Science service and AI services. It offers tools for data scientists to develop and deploy machine learning models efficiently, with features like Accelerated Data Science SDK, distributed training, batch processing, and machine learning pipelines. Whether you're a beginner or an experienced practitioner, OCI Data Science Services provide the resources needed to build, train, and deploy models easily.

llm-analysis is a tool designed for Latency and Memory Analysis of Transformer Models for Training and Inference. It automates the calculation of training or inference latency and memory usage for Large Language Models (LLMs) or Transformers based on specified model, GPU, data type, and parallelism configurations. The tool helps users to experiment with different setups theoretically, understand system performance, and optimize training/inference scenarios. It supports various parallelism schemes, communication methods, activation recomputation options, data types, and fine-tuning strategies. Users can integrate llm-analysis in their code using the `LLMAnalysis` class or use the provided entry point functions for command line interface. The tool provides lower-bound estimations of memory usage and latency, and aims to assist in achieving feasible and optimal setups for training or inference.

Code-formatting and optimization assistant.

Provides optimized, commented Python code.

Reactor for React code, comments out old code, adds updates inline.

Vitest code generator for TypeScript

以代码框形式输出英文论文摘录的格式化，自动生成中文小标题。

Streamline Your Code, Automate with Ease - Expert Guidance at Every Step!

No-Code Expert for Digital Solutions

No-code GPT. Explore the latest in no-code: your hub for news updates, tool reviews, tutorials, events, expert insights, and no-code success stories

write object orientated code in any language

R coding expert minimizing errors in R programming

Develops, advises and optimizes infrastructure-as-code practices across the organization.

Generates web scraping code with accurate selectors.

Your personal Jenkins assistant and code generator with a focus on responsive, efficient, and scalable automations.

A software engineer helping you create low code solutions.

Ask Me Anything about No Code Playbook

Expert in automation engineering, generating Python code for Opentrons SDK.

Advisor and motivator for no-code founders

This GPT can generate code for you. For now it creates full-stack apps using Typescript. Just describe the feature you want and you will get a link to the Github code pull request and the live app deployed.

A Python programming guide and code analyst

Software code tester and debugger