Explore 2507+ AI Developers (page 28)
Hardik Pandya
Helping startups and large companies build and grow products through high-quality design across consumer tech, education, SaaS, and more.
gepa-ai
Automatically optimize prompts, code, and agent architectures using LLM-based reflection, achieving frontier performance with 90x lower costs than Reinforcement Learning.
Palleon Team
Empowering website owners and developers with high-quality, user-friendly themes and plugins to create stunning online experiences.
elixir-vibe
To provide Elixir-native tooling for safer and better agent-assisted coding through AST-aware analysis and BEAM-native agent runtimes.
Lutz Roeder
Develop high-quality developer tools and visualizers that improve transparency and understanding of complex software and AI models.
Vostride AI
Vostride AI provides an AI-native end-to-end testing harness that allows developers to write tests in natural language with self-improving execution memory.
FredAntB
FredAntB builds open-source developer tooling focused on AI-assisted software development. The Spec-Driven Development skill enforces a spec-first workflow across multiple AI coding agents, preventing contradictions between tools like Claude Code, Cursor, Copilot, Windsurf, and Aider. The project is written primarily in Python and released under the MIT license.
ansxuman
Anshuman (ansxuman) is an indie full-stack developer and open-source maker behind Clauge, an AI-powered desktop "super-app" that consolidates coding agents, an API client, SQL/NoSQL editors, SSH sessions, a cloud file explorer, and a Kanban workspace into a single window — each mode with its own purpose-tuned AI.
Hikutas, Inc.
Helping organizations turn internal information into measurable business value through AI search and workflow automation.
Yuanlw
Yuanlw builds Sift, a capture-first personal knowledge base that turns daily information intake into reusable knowledge assets. The project is written in TypeScript and self-hosted via Docker and PostgreSQL. It exposes an Agent API and MCP endpoint, positioning it as a long-term knowledge layer for personal and agent-driven workflows.