development

StableCode

StableCode

StableCode is an LLM generative AI product for coding developed by Stability AI. It aims to assist programmers in their daily work and serve as a learning tool for new developers. The tool offers three different models to enhance coding efficiency. The base model is trained on a diverse set of programming languages from the stack-dataset, including popular languages like Python, Go, Java, JavaScript, C, Markdown, and C . It has been further trained on 560B tokens of code. The instruction model is specifically tuned to solve complex programming tasks and is trained on around 120,000 code instruction/response pairs. StableCode’s long-context window model allows for single and multiple-line autocomplete suggestions, making it an ideal assistant for reviewing or editing large amounts of code simultaneously. Compared to previous open models, StableCode can handle 2-4 times more code at once, equivalent to editing up to five average-sized Python files. This feature makes it an excellent learning tool for beginners who want to tackle more significant coding challenges. Stability AI aims to make technology more accessible, and StableCode is a significant step in realizing this vision. The tool empowers people of all backgrounds to create code to solve everyday problems using AI. It also seeks to provide fairer access to technology worldwide. StableCode is designed to help the next generation of software developers learn to code and contribute to a more inclusive tech ecosystem.

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Autoblocks

Autoblocks

Autoblocks is a full-stack LLMOps platform that provides monitoring, debugging, and testing capabilities for AI products. It allows users to build better AI products by offering features such as prompt management, observability, continuous evaluations, fine-tuning, A/B experimentation, and snapshot testing.

Autoblocks enables users to prototype and backtest their LLM (Labeling, Logging, Monitoring) pipeline, facilitating testing of changes before deploying them to production. It also offers the ability to debug and organize user interactions, allowing users to trace entire user interactions and analyze how each step of their orchestration affects user experience. Additionally, Autoblocks provides A/B test insights visualization through dashboards, helping users better understand their application.

Seamlessly integrating with any codebase or tech stack, Autoblocks is suitable for enterprises. It boasts enterprise-grade LLMOps capabilities, including scalable data ingestion and search, powerful collaboration features for debugging and prompting, and support from a team of AI experts. The platform prioritizes robust security and privacy, offering features such as data encryption, single sign-on (SSO), continuous security monitoring, and compliance auditing.

Autoblocks offers different pricing plans to cater to varying needs, including a free plan for essential observability, a builder plan for getting AI products into production, and a growth plan for a full LLMOps stack. Each plan includes different features, teams, event limits, and additional benefits like pipeline replay, smart replay insights, custom alerts, and shared Slack channel support.

Overall, Autoblocks is a comprehensive tool that enables users to monitor, debug, and test their AI products, empowering them to build better AI solutions with improved performance and user experience.

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Gitwit

Gitwit

GitWit is an AI-powered tool for software development that allows developers to accelerate their coding process by using natural language to prompt code generation and modification. It seamlessly integrates with modern developer tools and large language models to spawn and modify codebases using a single prompt.

Primarily aimed at full-stack developers, GitWit is especially useful for those with a learning mindset. It is currently in beta and offers free access for up to five projects and unlimited revisions. However, a paid version with additional features may be introduced in the future.

GitWit leverages the power of GPT-4 to generate code and track changes. To start using GitWit, simply sign in with your GitHub account and experience an accelerated coding process today.

While GitWit is currently being used by dozens of developers, it may still experience some hiccups during the fine-tuning process. If you have any questions or concerns, the GitWit team can be contacted through their contact page.

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StableCode

StableCode

StableCode is an LLM generative AI product for coding developed by Stability AI. It aims to assist programmers in their daily work and serve as a learning tool for new developers. The tool offers three different models to enhance coding efficiency. The base model is trained on a diverse set of programming languages from the stack-dataset, including popular languages like Python, Go, Java, JavaScript, C, Markdown, and C . It has been further trained on 560B tokens of code. The instruction model is specifically tuned to solve complex programming tasks and is trained on around 120,000 code instruction/response pairs. StableCode’s long-context window model allows for single and multiple-line autocomplete suggestions, making it an ideal assistant for reviewing or editing large amounts of code simultaneously. Compared to previous open models, StableCode can handle 2-4 times more code at once, equivalent to editing up to five average-sized Python files. This feature makes it an excellent learning tool for beginners who want to tackle more significant coding challenges. Stability AI aims to make technology more accessible, and StableCode is a significant step in realizing this vision. The tool empowers people of all backgrounds to create code to solve everyday problems using AI. It also seeks to provide fairer access to technology worldwide. StableCode is designed to help the next generation of software developers learn to code and contribute to a more inclusive tech ecosystem.

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