Best AI Tools for Engineering AI Tools

AI vs. Human, a GitHub Visualization

Pipeline is an AI-powered MLOps platform that automates end-to-end machine learning workflows—from data ingestion and preprocessing to training, evaluation, and production deployment. With a no-code/l

Build, compare, and deploy large language model apps with Scale Spellbook.

Conversational AI streamlining DevOps workflows and enhancing productivity.

Cradle, a leading platform in protein engineering, revolutionizes protein design using sophisticated machine learning. By streamlining the design process, it enables researchers to create proteins wit

Computational knowledge engine for STEM Pricing: Freemium. See pros, cons, alternatives, and comparisons.

devActivity is an AI-powered, GitHub-first engineering analytics and monitoring platform that transforms repository activity into real-time performance insights, ethical gamification, and actionable a

The enterprise-grade software to build, monitor, and improve your AI application. Keywords AI is a full-stack LLM engineering platform for developers and PMs.

(USA) Creators of **Devin**, the first AI software engineer agent, designed to autonomously handle complex coding tasks from start to finish.

Debug Production x10 Faster with AI.

LMQL is a query language for large language models.

AI Platform Engineer

A short course by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI).

Autoblocks 2.0 is a cutting-edge AI product development platform designed to help enterprises of all sizes supercharge their AI capabilities. It offers powerful tools for testing, debugging, and monit

Props AI offers a comprehensive solution for monitoring and monetizing AI applications with a focus on balancing cost, latency, and quality. The platform features per-user tracking, error and latency

A short course by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI).

Automated Machine Learning

The Allen Institute for Artificial Intelligence (AI2) is at the forefront of AI research and engineering, focusing on addressing some of the most compelli...

(USA) A robotics company building general-purpose humanoid robots. Backed by major tech players like OpenAI and Microsoft, they are at the forefront of AI embodiment.

Hyperlint AI helps write and maintain your software documentation.

(USA) A startup building an AI "coworker" for software engineers, designed to handle complex coding and engineering tasks.

Modular open-source framework for building and deploying LLM-based agents, pipelines, and workflows.

Cloud monitoring and observability platform with AI-powered anomaly detection, forecasting, and incident management.

Custom AI models made easy with intuitive interface and automatic optimization for coding-free customization.

Open-source team knowledge base with AI search and writing assistance for engineering-forward teams.

AI-powered project management tool for software teams with intelligent issue creation and workflow automation.

Create NLP models, generate personalized content, and enhance language understanding effortlessly.

Sedai, an AI-powered autonomous cloud management platform, streamlines operations by continually optimizing cloud resources for cost, performance, and availability, reducing the pain of today’s manual

Natural language to secure engineering specs.

Faraday's AI Safety and Responsible AI page emphasizes a commitment to building a predictive future that benefits society by using AI responsibly. It highlights features like algorithmic bias detectio

Empower AI automation: no-code to code, seamless integrations, scalable.

AI DevOps platform for CI/CD and cloud cost optimization

Open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications. #opensource

what we learned about code complexity

The enterprise-grade software to build, monitor, and improve your AI application. Keywords AI is a full-stack LLM engineering platform for developers and PMs.

Qoder is an agentic coding platform for professional software development that unites enhanced context engineering, intelligent AI agents, and in-repo documentation to deeply understand your codebase