Supporting infrastructure for people who write software, rather than the application itself, is what this category holds.
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AI agent infrastructure platform for deploying production-ready agents via a single API
Measures code coverage for coding agents and guides test writing until 100%
Open-source platform for building, deploying, and managing multi-task AI agents with RAG, tool integrations, and per-task LLM selection.
Local AST-based codebase indexing server for AI agents via MCP
A TypeScript library for evaluating text with Jev by TypeSafe
Collects read-only diagnostic snapshots from macOS for private sharing and AI analysis
Static analysis tool that scans AI coding agent artifacts for supply-chain threats before execution
Self-hosted AI agent that learns a codebase and performs engineering tasks
AI coding assistant extension for Visual Studio, VS Code and JetBrains IDEs
VS Code extension that tracks mental strain and AI token use to suggest work breaks or pauses
Build custom applications with data sources and services like calendars, media, maps, and more, while ensuring security.
Native macOS dashboard for monitoring and managing multiple coding agents locally
Time MCP server integrates system time into Cursor, Claude Desktop and Windsurf via the Model Context Protocol.
Interactive playground for testing and exploring Inkling, an open-weights AI reasoning model, with adjustable settings and quick-start prompts.
Integrate text analysis into applications with Tinq.ai's NLP API.
Web-based calculators for token counts, API costs, and model comparisons
Analyzes LLM agent traces to identify and quantify token waste
Tracks and aggregates AI usage across browsers and IDEs locally
Unified API gateway for accessing multiple large language models with usage-based billing
Per-customer LLM cost attribution proxy that bills usage into Stripe
Perfectly translate your app contextually, use auto-translation for speed, and support major JavaScript frameworks.
Fast codebase analysis and answers, automated code structure explanations and change detection.
AI governance layer that scores and improves software reliability across development and production
LLM observability and AI agent evaluation integrated into CI/CD pipelines
Monitors and logs token usage and execution traces for coding agents including Claude Code
Monitors web apps and translates errors into plain language with copy-paste fixes
Online Python code editor with AI-powered optimization and webmaster tools
Records and replays AI coding agent sessions with file changes and prompts
Live, CI-synced system maps and artifacts for engineering teams and AI agents
Real-time AI screen perception and memory layer for apps and agents
Automatically detects API changes and updates dependent codebases with verified pull requests
Mac menu bar app showing AI plan usage limits
Usage-based feature limits and AI credit tracking for Next.js applications
Checks prompts before sending to Codex to reduce tokens without altering intent
Applies precise code edits proposed by AI coding agents without regenerating files
AI-powered coding editor and developer workspace
