Developer & API Tools AI Tools

AI APIs, developer platforms, and infrastructure tools

91 tools available

Want an AI assistant inside your editor instead? Browse AI Coding Tools.

About This Category

Developer and API tools integrate AI capabilities into your development workflow, APIs, and infrastructure. These tools are used by software engineers, DevOps teams, and technical architects to accelerate coding, automate deployments, and build AI-powered applications. They solve problems like reducing boilerplate code, managing complex integrations, and speeding up the development lifecycle.

Who Uses These Tools

Full-stack engineers building faster

Full-stack developers use AI coding assistants to generate boilerplate, write tests, and prototype features end-to-end, cutting development time significantly.

Data engineers managing pipelines

Data engineers leverage these tools to automate data pipeline construction, manage API integrations, and reduce manual scripting for ETL workflows.

DevOps teams automating deployments

DevOps and platform engineers use infrastructure tools and APIs to automate deployment configurations, monitoring setup, and environment provisioning.

Frequently Asked Questions

How to Choose

Evaluate pricing structure
Check whether the tool charges per API call, per seat, per month, or offers free tiers. Compare costs against your expected usage volume and team size to ensure it fits your budget.
Assess ease of integration
Look for tools with clear documentation, SDK support for your primary languages, and pre-built connectors to your existing tech stack. Test whether onboarding takes hours or days.
Check ecosystem compatibility
Verify that the tool works seamlessly with your version control, CI/CD pipeline, cloud provider, and other development platforms you currently use.
Test code generation quality
For coding-focused tools, run sample tasks in your language or framework to evaluate accuracy, security of generated code, and whether it requires significant refactoring.

Together Inference

Run open-source LLMs with fast, scalable inference API

Unstructured

API for parsing and chunking unstructured documents into usable data.

Claude.ai Alternative - Anthropic API

Enterprise-grade AI inference for production applications

SinglebaseCloud

Backend platform with vector database, document storage, and authentication.

Anthropic Console

Test and deploy Claude AI models with a web interface.

Claude.ai Alternative - Anthropic Console

API access to Claude models with fine-tuning and batch processing.

Warp Terminal

AI-powered terminal with command intelligence

Claude MCP (Model Context Protocol)

Open protocol for Claude to connect with external tools and data

ChatWithCloud

Query AWS resources using natural language instead of CLI commands.

Anthropic API Console with Vision

Process images and text together with Claude API

Designing the hf CLI as an agent-optimized way to work with the Hub

Command-line tool for agent-optimized interaction with Hugging Face Hub.

Deepgram

Enterprise AI speech recognition and audio understanding API

Stability AI Image Generation API

API access to Stable Diffusion image generation models

Iteration Layer

Composable content processing APIs for document and image handling

Amazon Q Developer CLI

AI-powered CLI for command generation and code assistance

Claude Extensions

Expand Claude with web search, file analysis, and custom integrations.

LangChain (LangSmith)

Debug, test, and monitor LLM applications in production.

Fal.ai

Serverless API platform for running AI models without infrastructure.

Anthropic Tokens Counter

Count and optimize tokens for Claude API calls.

Browse Tools

Together Inference

Developer & API Tools

Run open-source LLMs with fast, scalable inference API

NewVerified

freemiumFree Tier