Coding & Development AI Tools
1,744 tools
1,744 tools · page 67 of 73
modl.ai uses AI agents to automatically playtest video games, finding bugs and balance issues across huge numbers of simulated playthroughs faster than manual QA.
MongoDB Atlas Vector Search lets developers store embeddings alongside regular application data in MongoDB, avoiding the need for a separate dedicated vector database.
Nanonets extracts structured data from documents like invoices and receipts using AI-powered OCR, aimed at finance and operations teams automating manual data entry.
Nekton AI lets users describe a multi-step workflow in plain language and turns it into an automated process connecting different apps and services.
Neptune.ai tracks and organizes metadata from machine learning experiments, with particular focus on the scale needed for training and fine-tuning large foundation models.
Nomic AI provides tools, including its Atlas platform, for visualizing and exploring massive embedding datasets, helping teams understand what's actually inside their AI training data.
NVIDIA NIM packages popular AI models as optimized, containerized microservices that developers can deploy on NVIDIA hardware, aimed at simplifying production AI deployment.
Ocean Protocol lets organizations publish, share, and monetize datasets for AI training through a decentralized marketplace, part of the Artificial Superintelligence Alliance.
Ocrolus analyzes financial documents like bank statements and pay stubs using AI, aimed at lenders and fintech companies automating income and identity verification.
Ollama packages open-source language models to run locally with a single command, aimed at developers who want to experiment with or build on open models without cloud infrastructure.
The OpenAI API lets developers build on GPT models for text, image, and voice generation, along with tools for fine-tuning and running AI agents, powering a large share of third-party AI products.
OpenHands is an open-source platform for running AI agents that plan, write, and apply code changes autonomously, aimed at teams wanting an open alternative to closed coding agent products.
OpenPipe captures a team's existing LLM API calls and uses that data to fine-tune smaller, cheaper models that match the original model's performance for that specific task.
OpenRouter provides a single API endpoint that routes requests to dozens of different language models from various providers, letting developers switch models without changing integration code.
Pagerly assists on-call engineers directly inside Slack or Teams, surfacing relevant runbooks and context when an incident is paged, aimed at speeding up incident response.
Paperspace provides cloud GPU instances and notebooks for training and running machine learning models, now operating as part of DigitalOcean's cloud platform.
Patronus AI provides tools for evaluating and testing large language models before and after deployment, aimed at enterprise teams that need to catch failures before they reach users.
Pieces for Developers saves and organizes reusable code snippets with AI-generated descriptions and context, aimed at developers who want to quickly find and reuse past solutions.
Pinecone is a fully managed vector database used to store and search embeddings at scale, a core piece of infrastructure behind many retrieval-augmented generation applications.
Poolside builds large language models specifically trained for software engineering tasks, aimed at enterprises wanting a coding-focused AI model they can deploy on their own infrastructure.
Portia AI is an open-source framework for building AI agents that explain their planned actions and share progress as they work, aimed at developers who want more visibility into agent behavior than typical black-box agents.