Coding & Development AI Tools
1,744 tools
1,744 tools · page 69 of 73
Semantic Kernel is Microsoft's open-source SDK for integrating language models and plugins into applications, aimed at .NET, Python, and Java developers building enterprise AI agents.
SentinelOne uses AI to detect and autonomously respond to threats on endpoints and cloud workloads, aimed at security teams that need protection without constant manual intervention.
SerpApi provides a structured API for retrieving Google and other search engine results, commonly used by developers building AI tools that need real-time web search data.
Simbian provides an AI agent that autonomously investigates security alerts and takes action, aimed at security operations centers overwhelmed by alert volume.
Singlebase Cloud provides a backend-as-a-service with a vector database, document database, and authentication built in, aimed at developers building AI applications quickly.
SingularityNET lets developers publish and monetize AI models and services on a decentralized network, aimed at building an open marketplace for AI outside of centralized tech platforms.
Snorkel AI lets teams label training data using programmatic rules and AI assistance instead of manual annotation alone, aimed at speeding up dataset creation for model training.
Snowflake Cortex AI lets users run language model functions directly on data already stored in Snowflake, aimed at analytics teams who want AI features without moving data elsewhere.
Sourcery analyzes Python code and suggests automatic refactoring improvements for readability and quality, integrating into the editor and code review workflow.
StackBlitz runs full development environments directly in the browser with no local setup, and powers the AI app-building tool Bolt.new for generating projects from a prompt.
AI orchestration platform combining 9 frontier LLMs for verifiable responses
Supabase provides a Postgres-based backend-as-a-service with authentication, storage, and vector search built in, widely used by developers building AI applications that need a database.
Sweep AI reads a bug report or feature request and automatically generates a pull request with a proposed code fix, aimed at reducing time spent on small, well-defined engineering tasks.
Swimm generates documentation directly tied to a codebase and flags when code changes make existing docs outdated, aimed at engineering teams whose documentation usually falls out of date.
Tabby is an open-source code completion tool that teams can self-host on their own infrastructure, aimed at organizations that want AI coding assistance without sending code to a third party.
Tavily provides a web search API optimized for feeding accurate, relevant results into AI agents and RAG applications, rather than being designed for human browsing.
Tavus provides a developer API for generating personalized AI avatar videos and real-time video AI agents, aimed at companies embedding video personalization into their own products.
TensorZero unifies an LLM gateway, observability, and optimization tooling into one open-source framework, aimed at teams building and iterating on production-grade LLM applications.
Tenstorrent designs computer processors specifically built for AI workloads, positioned as an alternative chip architecture to the dominant GPU providers for AI training and inference.
Testim uses AI to author and stabilize automated end-to-end tests, aimed at QA teams that want tests to survive routine UI changes without constant rewriting.
Tines lets security teams automate repetitive investigation and response workflows by connecting tools together, with AI features assisting workflow building and alert triage.
Together AI provides fast inference and fine-tuning infrastructure for open-source language and image models, aimed at developers who don't want to manage their own GPU clusters.
Torq automates security workflows across many different security tools, using AI agents to investigate and respond to alerts without requiring manual scripting.