Explore 823+ AI Developers (page 55)
Page 55 of 83 showing 541-550 of 823 developers - Browse AI tool developers and discover their contributions to the AI ecosystem.
SwytchCode
SwytchCode builds an AI-driven platform that simplifies API integration by generating production-ready code, embedding interactive API experiences, and connecting APIs to AI via an MCP server. The founding team includes engineers with backgrounds in AI, developer tooling, and API products who focus on developer-first simplicity. The company emphasizes measurable outcomes for API publishers, such as reduced support costs and faster developer onboarding.
CatDoes
CatDoes builds an AI-native platform that turns natural-language descriptions into production-ready mobile apps. The platform uses a multi-agent workflow to capture requirements, design UI, generate app code, and prepare releases. It integrates with Supabase and GitHub and targets React Native / Expo builds for web and mobile.
Speakeasy
Speakeasy builds developer tools that generate idiomatic SDKs, Terraform providers, and MCP servers to connect LLMs to real-world APIs. The team includes engineers experienced in API design, developer experience, and infrastructure, and they ship CLI tools, SDK generators, and hosted MCP offerings. Speakeasy focuses on developer experience, customization, and production-ready security features for teams building agentic applications.
Agentatech UG
Agenta builds an open-source LLMOps platform that provides prompt management, evaluation, and observability for developer and product teams. The team ships tooling and SDKs that integrate with major LLM providers and frameworks and focuses on collaboration between engineers and subject-matter experts. Agenta maintains an MIT license and supports self-hosting, cloud-hosted tiers, and OpenTelemetry-compatible tracing.
Autonomy AI
Autonomy AI develops Fei, an AI assistant that accelerates frontend development through intelligent code generation from designs, requirements, and tickets. The team focuses on context-aware code generation, iterative refinement workflows, and design system alignment. Fei integrates directly into IDEs, understands project-specific standards, and enables developers, designers, and PMs to build and iterate on UIs while maintaining code quality and consistency.
Kombai
Kombai builds an AI agent focused on frontend development that converts designs and prompts into production-ready UI code. The team combines frontend engineering and applied ML expertise to create a context-aware agent that understands complex repos and popular libraries. Kombai emphasizes developer workflows, IDE integration, and enterprise privacy features such as SOC2 compliance.
Packmind
Packmind builds an open-source playbook platform that centralizes standards and distributes them to AI agents and coding assistants. The team develops integrations for GitHub and GitLab and provides tooling for governance, linting and distribution. Packmind offers a community-supported open-source edition and enterprise-grade features such as SSO, RBAC and data residency for organizations that require compliance.
Build0
Build0 builds a no-code AI platform that generates internal web applications from natural-language prompts. The company focuses on rapid app scaffolding, secure connectors to existing tools, and enterprise-grade controls such as RBAC and audit logs. Build0 operates a tiered pricing model with AI build credits and supports instant deployment and team collaboration. The company is backed by Y Combinator.
Sourcery
Sourcery builds automated code review and security scanning tools that integrate into pull requests and developer IDEs to help teams find and fix issues earlier. The team focuses on high-signal feedback, configurable review rules, and enterprise-grade privacy controls such as zero-retention and self-hosting options. Sourcery supports open source projects and offers seat-based plans for teams and enterprises.
Tabnam, Inc.
Greptile (built by Tabnam, Inc.) delivers an AI code review agent that analyzes pull requests with full repository context to catch bugs, enforce rules, and suggest fixes. The team combines machine learning and code-analysis expertise to build contextual code understanding and custom rule enforcement for engineering teams. They offer both hosted and self-hosted deployments and focus on enterprise-grade security and compliance.