Kandev
Kandev is an open-source development workbench for coordinating AI coding agents and software tasks. It brings task planning, agent sessions, repository activity, code changes, and review into one workspace, where developers can run agents in parallel, organize work with Kanban and workflow steps, inspect diffs, and review changes before opening or merging pull requests. Users can connect supported coding-agent CLIs or ACP agents and work with repositories through GitHub, GitLab, Azure DevOps, Jira, Linear, and Sentry integrations. Kandev runs locally or on infrastructure the user controls, with CLI, desktop, Docker, and service deployment options. Executors include local, isolated worktree, Docker, SSH, and remote environments; MCP, webhooks, and scheduled automations can coordinate tasks. It is intended for software developers and engineering teams seeking a shared workspace for agent-assisted coding and code review.
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Cody
Cody, Sourcegraph’s AI code assistant goes beyond individual dev productivity, helping enterprises achieve consistency and quality at scale with AI.
Unlike traditional coding assistants, Cody understands the entire codebase, enabling deeper contextual awareness for smarter autocompletions, refactoring, and AI-driven code suggestions. It integrates with IDEs like VS Code, Visual Studio, Eclipse, and JetBrains, providing inline editing and chat without disrupting workflows. Cody also connects with tools like Notion, Linear, and Prometheus to enhance development context. Powered by advanced LLMs like Claude Sonnet 4 and GPT-4o, it optimizes speed and performance based on enterprise needs, and is always adding the latest AI models. Developers report significant efficiency gains, with some saving up to six hours per week and doubling their coding speed.
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1904
1904 is a cloud-based software development platform combining an AI Factory with a coding-agent dashboard. The AI Factory turns a plain-language app brief into an approved specification and design, then coordinates agents to build, test, review, and deploy the application in an isolated cloud environment. The dashboard lets users run coding agents on new or imported repositories, assign parallel tasks, inspect previews, diffs, and checks, and review changes before merge. Users can connect coding-agent subscriptions or API keys, or use AI credits included in paid plans. 1904 supports GitHub, GitLab, Bitbucket, and Codeberg repositories and includes app hosting, releases, monitoring, and custom domains. It is intended for founders, developers, and enterprise teams creating new applications, extending existing software, or managing multi-agent development workflows.
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Amp
4.7 out of 5 stars
(3 Ratings)
Amp is a frontier coding agent built to give developers full access to the power of today’s leading AI models directly in their workflow. Available in the terminal and popular editors like VS Code, Cursor, Windsurf, JetBrains, and Neovim, Amp integrates seamlessly into existing development environments. It enables developers to delegate complex coding tasks, refactors, reviews, and explorations to intelligent agents that understand and operate across entire codebases. With support for advanced models such as Claude Opus, Gemini, and GPT-class models, Amp delivers fast, reliable, and highly agentic code generation. The platform is designed for real-world engineering work, handling multi-file changes, deep context, and iterative improvements. Amp helps developers move faster while maintaining confidence in code quality.
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