Supporting infrastructure for people who write software, rather than the application itself, is what this category holds.
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AI assistant managing software features from specification to deployment
Hands-on course for building and operating production-grade LLM systems
Automate data analysis, get real-time insights, and maximize ROI with dynamic models, easy setup, and maintenance-free features.
Indexes and searches AI assistant conversations across multiple tools
Stores coding assistants' project history locally.
Browser-based AI coding assistant that lets developers add, fix, and debug features directly in web apps.
Static analysis and code intelligence tool that provides call graphs and semantic context for safer AI-assisted edits in Python and TypeScript.
Open-source AI coding assistant that generates, debugs, and manages code directly in VS Code and JetBrains to save time and reduce errors.
Browser extension that masks API keys and PII in AI chat prompts before they are sent
A fully managed AI retrieval and RAG infrastructure for fast, accurate multimodal search across text, PDFs, images, and structured data.
Compares VRAM capacity and prices of GPUs for running local large language models
Private gateway routing AI models with confidential compute and no prompt retention
Framework for adding AI agents to products with built-in infrastructure
Access multiple AI models through one unified API with 99.96% uptime and automatic failover for reliable application performance.
Compares LLM inference providers by speed, price and reliability
Mac command center with local AI, window management and clipboard history
Find solutions quickly with an intuitive interface and accurate results for coding projects.
Open-source MCP server, Python library and CLI that builds high-signal, privacy-preserving code context for AI coding assistants.
Interoperability layer for connecting and managing coding agents across multiple protocols
Hyperlint AI automates writing and maintaining software documentation with grammar, SEO, and structure checks plus OpenAPI/SDK-driven updates.
Optimize AI models, deploy across platforms, and support various use cases effortlessly.
Local control plane for inspecting and restricting Claude Code tool usage
Enterprise LLM gateway providing a single API key for multiple AI model providers
A platform for building, managing, and integrating LLM applications with over 200 model options and monitoring tools.
Monitors third-party APIs, vendors, AI models and policies for changes that could impact operations
An AI-driven full-stack development platform that writes, reviews, tests, and deploys code with built-in analytics and integrations.
Browser and desktop tool to feed text, files and screenshots into any AI model
Integrate AI features into apps quickly via a single API with scalable, user-friendly tools for developers of all levels.
Deterministic merge gate and AST refactoring tool for coding agents
Turns AI prompts into live web apps with sign-in and a database in minutes
Ship AI apps: Postgres, RAG, agents, workflows.
Auto-scale AI models, GPU-accelerated computing, and easy deployment with an intuitive UI and comprehensive docs.
Unified API providing access to 167 AI models across text, image, video and audio at reduced cost
Create apps, automate deployment, and manage data from a single dashboard with a built-in development environment.
Local PII detection and masking gateway for AI prompts before they leave the device
Train, deploy and optimize machine learning models quickly and easily with powerful analytics and seamless integration.
