Genlayer
Run verifiable AI computations directly on blockchain networks.
AI APIs, developer platforms, and infrastructure tools
Want an AI assistant inside your editor instead? Browse AI Coding Tools.
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.
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.
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.
Run verifiable AI computations directly on blockchain networks.
Run open-source LLMs with fast, scalable inference API
Unified API for open-source and proprietary LLMs with dynamic routing
API for fast, cost-effective decision-making in applications.
Reduce costs and latency for repeated prompts
Extremely fast LLM inference API and model playground
API for parsing and chunking unstructured documents into usable data.
Full-duplex voice conversations with GPT in your applications via API.
Private LLM API with built-in safety controls and compliance.
Real-time video and audio infrastructure for AI applications
Backend platform with vector database, document storage, and authentication.
Test and deploy Claude AI models with a web interface.
Build and share AI apps without managing infrastructure.
AI code review that catches bugs and improves pull requests automatically.
Unified AI API for text, image, and video generation with pay-as-you-go billing.
Framework for building search pipelines in AI applications.
Framework for distributing AI models through partners with consistent safety standards.
API access to Claude models with fine-tuning and batch processing.
Track AI model deprecations across major providers in real-time.
Deploy small language model agents locally without cloud infrastructure.
AI-powered terminal with command intelligence
Open protocol for Claude to connect with external tools and data
Query AWS resources using natural language instead of CLI commands.
Build shareable ML demo interfaces instantly
Run verifiable AI computations directly on blockchain networks.
Run open-source LLMs with fast, scalable inference API
Unified API for open-source and proprietary LLMs with dynamic routing
API for fast, cost-effective decision-making in applications.
Reduce costs and latency for repeated prompts
Extremely fast LLM inference API and model playground
API for parsing and chunking unstructured documents into usable data.
Full-duplex voice conversations with GPT in your applications via API.
Private LLM API with built-in safety controls and compliance.
Real-time video and audio infrastructure for AI applications
Backend platform with vector database, document storage, and authentication.
Test and deploy Claude AI models with a web interface.
Build and share AI apps without managing infrastructure.
AI code review that catches bugs and improves pull requests automatically.
Unified AI API for text, image, and video generation with pay-as-you-go billing.
Framework for building search pipelines in AI applications.
Framework for distributing AI models through partners with consistent safety standards.
API access to Claude models with fine-tuning and batch processing.
Track AI model deprecations across major providers in real-time.
Deploy small language model agents locally without cloud infrastructure.
AI-powered terminal with command intelligence
Open protocol for Claude to connect with external tools and data
Query AWS resources using natural language instead of CLI commands.
Build shareable ML demo interfaces instantly