Explore 800+ AI Developers (page 53)
Page 53 of 80 showing 521-530 of 800 developers - Browse AI tool developers and discover their contributions to the AI ecosystem.
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.
Semgrep, Inc.
Semgrep, Inc. builds developer-first application security tools that combine an open-source static analysis engine with a managed AppSec platform. The company grows and maintains the Semgrep engine and rule registry while developing AI-assisted triage, remediation, and Pro analysis features. The team includes security researchers and engineers who focus on making high-accuracy security scanning accessible in developer workflows.
Snyk
Snyk builds an AI-powered application security platform that embeds security into developer workflows and the SDLC. The company combines security research and AI models to deliver fast, accurate vulnerability detection across code, open source, containers, and IaC. Snyk's team includes security researchers and engineers focused on developer-first tooling and automation to simplify remediation and compliance.
Ellipsis
Ellipsis builds an AI software engineer that reviews pull requests, proposes and applies bug fixes, and summarizes code changes to speed development workflows. The team ships integrations for GitHub and Slack and operates a hosted web app while offering private deployment support. Ellipsis manages models, prompts, and agents to deliver consistent reviews and actionable suggestions to engineering teams.
Macroscope
Macroscope builds an AI-driven platform that reads codebases to summarize activity, generate PR descriptions, and detect high-confidence bugs. The team includes repeat entrepreneurs and engineers with backgrounds building consumer and ML products. They focus on delivering high signal-to-noise insights that help leaders and engineers stay aligned without extra reporting. The company emphasizes security and privacy, including SOC 2 Type II controls and not training models on customer code.