Best AI Coding Assistants for OpenAI - Page 2

CodeNext.ai is an AI-powered coding assistant designed specifically for Xcode developers, offering context-aware code completion and agentic chat functionalities. It supports a wide range of leading AI models, including OpenAI, Azure OpenAI, Google AI, Mistral, Anthropic, Deepseek, Ollama, and more, providing developers with the flexibility to choose and switch between models as needed. It delivers intelligent, real-time code suggestions as you type, enhancing productivity and coding efficiency. Its agentic chat feature allows developers to interact in natural language to write code, fix bugs, refactor, and perform various coding tasks within or beyond the codebase. CodeNext.ai includes custom chat plugins that enable the execution of terminal commands and shortcuts directly within the chat interface, streamlining the development workflow.

Codex CLI is an open-source, lightweight coding agent that integrates directly into your terminal, designed to help developers write, edit, and understand code efficiently. By pairing with Codex CLI, developers can leverage the power of AI to streamline their workflow, get real-time code suggestions, and improve their coding accuracy, all from within their command line interface. It provides a seamless, accessible way to enhance coding productivity while staying in the environment developers are already comfortable with.

Kodu is an AI-powered development platform that allows users to ideate, prototype, and build software products without needing deep coding expertise. It features Claude Code, a VSCode extension powered by Claude 3.7 Sonnet, which brings agentic coding capabilities directly into your editor: the tool can generate code, inspect diffs of changes it makes, interpret pasted images or mockups into functional UI, and run CLI commands without leaving the chat interface. Kodu also offers Kodu Engineer, a voice-driven assistant that lets you describe your project in natural language and watch it build your app live with screen sharing and instant deployment. Behind the scenes, Kodu utilizes its own “Kodu Cloud” inference API with a “rateless” model connection, allowing users to prototype and extend apps rapidly. All of this is delivered through a workflow that connects idea, design, and production, from mockup to live app, with minimal friction or handoff overhead.

Q is an AI Slack chatbot powered by OpenAI GPT-3.5 AI model. Q is based on GPT-3.5, a natural language processing AI provided by OpenAI. GPT-3.5 is also used for chatGPT. When "Q" has been mentioned, it reads the content of the thread to better understand the conversation naturally. It does not read the content outside of the thread. Q will retain the content of the conversation for abuse and misuse monitoring purposes for a maximum of 30 days, after which it will be deleted.

StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. We fine-tuned StarCoderBase model for 35B Python tokens, resulting in a new model that we call StarCoder. We found that StarCoderBase outperforms existing open Code LLMs on popular programming benchmarks and matches or surpasses closed models such as code-cushman-001 from OpenAI (the original Codex model that powered early versions of GitHub Copilot). With a context length of over 8,000 tokens, the StarCoder models can process more input than any other open LLM, enabling a wide range of interesting applications. For example, by prompting the StarCoder models with a series of dialogues, we enabled them to act as a technical assistant.

Enterprise-grade security & privacy and the most powerful version of ChatGPT yet. 1. Customer prompts or data are not used for training models 2. Data encryption at rest (AES-256) and in transit (TLS 1.2+) 3. SOC 2 compliant 4. Dedicated admin console and easy bulk member management 5. SSO and Domain Verification 6. Analytics dashboard to understand usage 7. Unlimited, high-speed access to GPT-4 and Advanced Data Analysis* 8. 32k token context windows for 4X longer inputs and memory 9. Shareable chat templates for your company to collaborate

Work on prompts with your team, share templates and data and manage all API costs on a single platform. Write complex prompts with ease, iterate, and compare the quality of outputs. Easily compose complex prompts in Quartzite's superior Markdown editor, save a draft, and submit it once ready. Improve your prompts by testing different variations and model settings. Save by switching to pay-per-usage GPT pricing and keep track of your spending in-app. Stop rewriting the same prompts over and over. Create your own template library, or use our default one. We're continually integrating the best models, allowing you to toggle them on or off based on your needs. Seamlessly fill templates with variables or import CSV data to generate multiple versions. Download your prompts and completions in various file formats for further use. Quartzite AI communicates directly with OpenAI, and your data is stored locally in your browser, ensuring your privacy.

Prototype faster, code smarter, and scale your productivity, available anytime, right on your desktop. Read, write, and update existing or new code, run terminal commands and read the output, use natural language to search the entire codebase, search the web for up-to-date information or documentation, and extract relevant information from websites. CodeCompanion writes code and runs commands for you, leaving you more time for important tasks. CodeCompanion app can create new apps from scratch. Or work on the existing codebase. Work together with AI or let AI-complete the entire task on its own. Whether you are working on a new or existing project the app can understand, modify, and write code. It can work with various programming languages and offers automatic coding and refining. CodeCompanion is capable of executing shell commands, automating various tasks like project setup, file creation, code updates, installations, or deployment, and answer based on your entire codebase.

Assembly brings your entire development context into focus, starting each day with clarity. It is designed to revolutionize software development by integrating understanding, planning, coding, reviewing, and documentation into a cohesive system. Serving as the command center for development teams, Factory offers personalized dashboards that highlight relevant tasks and streamline workflows, ensuring clarity and efficiency from the start of each day. The platform facilitates collaborative design and planning, allowing teams to craft architectures, draft requirements, and outline technical roadmaps with ease. Its codebase Q&A feature accelerates onboarding and knowledge sharing by capturing context and decisions, simplifying the comprehension of complex systems. Factory's AI-driven code review system delves deep into codebases, identifying subtle issues and assisting in implementing feedback effectively.

Bind AI is an advanced AI-powered coding assistant platform that supports over 15 AI models, including Claude 4 Sonnet, GPT 4.1, and Gemini 2.5 Pro. It enables users to generate, edit, and execute code across a wide range of programming languages such as Python, Java, C++, JavaScript, and more within a built-in IDE. Bind AI can help create landing pages, backend scripts, SQL queries, and automate repetitive coding tasks. The platform integrates seamlessly with GitHub and Google Drive, allowing code synchronization and collaborative development. Users can preview HTML webpages and run code snippets directly in the AI-powered editor. Bind AI offers a free 3-day trial for new users to experience its capabilities.

VibeScan is an AI-powered code scanning and fixing platform that enables developers and teams to confidently ship AI-generated code by automatically detecting and resolving issues that often slip through manual reviews. Users simply upload their code, whether written by traditional means or AI tools like OpenAI, Claude, GitHub Copilot, Cursor, etc., and VibeScan performs a comprehensive analysis covering security vulnerabilities (such as exposed API keys or SQL injection risks), performance bottlenecks, code quality concerns (like duplication or poor structure), and readiness for launch (including payment integrations, analytics, rate limiting, and privacy policy checks). The platform presents findings in an intuitive dashboard, with scores and one-click auto-fixes to streamline remediation. It supports large codebases, scanning up to 500,000 lines, and integrates with popular repositories and workflow tools.

OpenAI Codex is an advanced AI coding tool designed to assist software developers by automating many tasks in their coding workflow. It allows users to delegate tasks such as writing features, answering codebase questions, running tests, and proposing pull requests (PRs) for review. Codex works in parallel, handling multiple tasks simultaneously in secure cloud sandboxes preloaded with your repository. This tool helps developers move through their backlog faster and more efficiently, making it an invaluable asset for teams looking to streamline their development process.

When you work with CodeAssist plugin/extension, the code that CodeAssist works with is sent to the CodeAssist API. Your code is processed there to generate CodeAssist response (in the form of code change or message). Currently, the processed code is not stored on the server. If there are any changes to that, I'll let you know. If you don't use "Complete" feature (ALT+X shortcut), then it only processes the file that you have open in the editor. If you use "Complete" feature, then it processes other files in your codebase as well. As part of generating response, CodeAssist sends the code to OpenAI API. OpenAI stores the code for 1 month to provide and maintain their services, comply with applicable law, and enforce their policies. The code is not used by OpenAI for improvement of their services or training of their models.

An open source, terminal-based AI coding engine that helps you complete large tasks, work around bad output, and maximize productivity. Plandex uses long-running agents to complete tasks that span multiple files and require many steps. It breaks up large tasks into smaller subtasks, then implements each one, continuing until it finishes the job. It helps you churn through your backlog, work with unfamiliar technologies, get unstuck, and spend less time on the boring stuff. Changes are accumulated in a protected sandbox so that you can review them before automatically applying them to your project files. Built-in version control allows you to easily go backwards and try a different approach. Branches allow you to try multiple approaches and compare the results.

Turn specs into code with GPT-4 Turbo; RoboCoder makes programming easier. We integrated GPT-4 Turbo with VS Code’s APIs, to allow it to open and edit files. Get a studio-quality maternity photoshoot by taking a few selfies at home, thanks to a powerful image-generating AI. Collaborate with ChatGPT on a plan, then tell it to "get to work." GPT-4 is smart enough to open files, navigate your codebase, and propose a patch using VS Code's diff tool.

The leading open-source AI code assistant. You can connect any models and any context to create custom autocomplete and chat experiences inside the IDE Remain in flow while coding by removing the barriers that block productivity when building software. Accelerate development with a plug-and-play system that makes it easy to get started and integrates with your entire stack. Become a leader in AI by setting up your code assistant to evolve as new capabilities emerge. Continue autocompletes single lines or entire sections of code in any programming language as you type. Attach code or other context to ask questions about functions, files, the entire codebase, and more. Highlight code sections and press a keyboard shortcut to rewrite code from natural language.

Genie AI is a Visual Studio Code extension that integrates OpenAI's GPT models, including GPT-4, GPT-3.5, GPT-3, and Codex, directly into the development environment. This integration enhances the coding experience by providing features such as code generation, error explanation, and code fixes. Users can generate commit messages from git changes, store conversation history locally, and utilize the extension in the problems window to address compile-time errors. Genie AI supports streaming answers, allowing users to receive real-time responses to prompts within the editor or sidebar conversation. It also offers compatibility with Azure OpenAI Service deployments, enabling the use of custom models. Additional functionalities include customizable system messages, quick fixes for code issues, and the ability to export conversation history in Markdown format. The extension is designed to enhance developer productivity by integrating advanced AI capabilities into the coding workflow.

AppMap Navie is an AI-powered development assistant designed to enhance software development by providing actionable insights and troubleshooting support. It combines static and runtime application analysis to guide developers in understanding and optimizing their codebases more effectively. Navie integrates seamlessly with development environments, offering flexible deployment configurations and support for enterprise-grade security, including options for using GitHub Copilot or custom language models. The platform provides valuable context for AI-driven suggestions, such as HTTP requests, function parameters, and database queries, improving code quality and accelerating problem-solving. Navie is ideal for developers looking to streamline workflows, solve complex coding issues, and enhance overall application performance.

​CodeGuide is an AI-driven platform designed to assist developers in creating comprehensive project documentation for AI coding projects. It streamlines the process by automating the creation of Product Requirement Documents (PRDs), workflows, and prompts, thereby saving time and reducing potential AI hallucinations. Users can start by signing up with their Google account, and then create a new project by describing their idea, core features, and goals. It supports integration with various AI coding tools, including Claude AI, Bolt, VS Code, GitHub Copilot, Cursor AI, and Replit. Additionally, CodeGuide offers Starter Kits optimized for coding with preferred AI tools, such as the Starter Kit Lite, a modern web application starter template built with Next.js 14, featuring authentication and database integration. These kits are designed to help users start projects without setup hassles and save tokens. CodeGuide also provides access to Codie, an AI agent powered by Google's Gemini.

Infrabase is an AI‑powered DevOps agent that continuously scans GitHub infrastructure-as-code (IaC) in context to detect and flag security vulnerabilities, cost anomalies, and policy violations before they reach production. It integrates with GitHub via an app, securely indexes repositories (without storing raw code), and uses LLMs such as Claude, Gemini, or OpenAI to generate natural-language review checklists. Developers can define custom guardrails using Markdown-based rules instead of complex policy languages. On each pull request, Infrabase provides blast-radius insights, severity scoring, and even merge-blocking triggers for critical issues. It highlights deviations from internal coding patterns and uncovers hidden costs or poorly configured resources.

NEO is an autonomous machine learning engineer: a multi-agent system that automates the entire ML workflow so that teams can delegate data engineering, model development, evaluation, deployment, and monitoring to an intelligent pipeline without losing visibility or control. It layers advanced multi-step reasoning, memory orchestration, and adaptive inference to tackle complex problems end-to-end, validating and cleaning data, selecting and training models, handling edge-case failures, comparing candidate behaviors, and managing deployments, with human-in-the-loop breakpoints and configurable enablement controls. NEO continuously learns from outcomes, maintains context across experiments, and provides real-time status on readiness, performance, and issues, effectively creating a self-driving ML engineering stack that surfaces insights, resolves standard settlement-style friction (e.g., conflicting configurations or stale artifacts), and frees engineers from repetitive grunt work.

Base44 is an all-in-one AI platform designed to enable users to build fully functioning apps without any coding. It eliminates the need for complex integrations, providing built-in features like databases, AI integration, email systems, authentication, analytics, and storage, allowing users to focus on their ideas. It helps users save time and money by creating custom solutions that fit their needs, replacing expensive SaaS products, and developing tailored back-office tools, personal productivity apps, customer portals, and automated business processes. Base44 also facilitates the rapid development of MVPs and prototypes to test concepts quickly. It empowers non-developers to create functional applications instantly, making it ideal for a variety of use cases, from automating workflows to building secure platforms.