Explore 2259+ AI Developers (page 5)
Skivelane Limited
Skivelane provides an engineering standards layer and quality gate for AI-written code, helping teams catch 'slop' and enforce code quality across various AI agents.
Kitze
Building high-quality, efficient tools for developers and creators to enhance productivity and focus.
uxKero
uxKero builds open-source design tooling focused on bridging the gap between visual references and AI-ready structured outputs. The anydesign project extracts design systems from images, websites, and Figma files into portable Markdown and W3C DTCG token formats. The work targets designers and developers who use AI builders like v0, Lovable, Cursor, and Claude Code.
Nagaraj Dev
SnapZoom aims to help founders and creators record cinematic, studio-quality product demos in minutes using AI-powered auto-zoom and overlays, eliminating the need for manual video editing.
MeetNote
Provide AI-powered meeting notes, transcripts, and action items without the use of bots joining calls, ensuring privacy and a frictionless user experience.
99x
To boost digital potential through engineering excellence, co-creating and innovating alongside partners to navigate complexity and grow with confidence.
Jędrzej Maczan
Advancing machine learning research at the intersection of math, AI, and low-level systems, with a focus on LLM inference and ML compilers.
Itay Inbar
To enable complex coding tasks on local hardware using small, optimized language models through specialized scaffolding.
Doorman11991
Doorman11991 builds SmallCode, an open-source terminal-native coding agent optimized for local small language models (8B–35B parameters). The project focuses on making consumer-hardware LLMs practically useful for coding tasks through intelligent context management, forgiving tool parsing, and reliability-first architecture. SmallCode is published under the MIT License and actively maintained on GitHub.
Baukaalm
Baukaalm builds SafeSandbox, a local-first CLI safety net for developers using AI coding agents. The project focuses on protecting codebases from destructive AI-generated changes through automatic git-based snapshotting. Development is active and open on GitHub, with rapid iteration evident from multiple releases within the first week of the repository's creation.