Free trial
A limited-time free trial is advertised on the homepage, letting users try the agentic coding suite before subscribing; exact duration and usage limits are not specified.
Learn moreAgentic coding suite that builds full products from plain-language instructions.
Verdent is an agentic coding suite that turns natural-language prompts into working software, running parallel AI agents that plan, build, test, and refactor whole projects inside VS Code, JetBrains, and native Mac or Windows apps.
Verdent is an agentic coding suite built around the idea that a developer should be able to describe a goal in plain language and let AI agents handle the implementation. Rather than generating isolated code snippets, Verdent runs multiple agents in parallel to plan, write, test, and refactor an entire application — including backend pieces like authentication, data storage, payments, and admin tooling. It is available as a native desktop app for Mac and Windows, and integrates directly into VS Code and JetBrains IDEs, positioning it as an agent-orchestration layer that sits alongside existing development workflows rather than replacing them entirely. The tool targets solo developers, indie builders, and technical operators who want to move from idea to working product without assembling a full engineering team. Published use cases include a solo developer turning a dark gothic roguelike concept into a playable build — complete with 21 sprites and 52 bug fixes — in twelve hours, a desktop companion app built in seven days, and a growth lead replacing a multi-day data-engineering ticket with a self-service Google Ads reporting pipeline built from a single message. In practice, Verdent's Plan Mode breaks a stated goal into a task list and works through it with minimal check-ins, surfacing finished results rather than asking repeated clarifying questions; it requests human input mainly at decision points that matter. Project context and user preferences persist across sessions, so returning weeks later to add a billing system or an admin dashboard does not require re-explaining the codebase from scratch. Work can also be kicked off remotely by messaging Verdent through Slack or Telegram, and Eco Mode plus BYOK (bring-your-own-key) support give users some control over which underlying models power a given task and at what cost. Verdent competes in the growing field of agent-based coding assistants and AI pair-programming tools. Its differentiators are persistent full-project memory across sessions, remote task triggering from chat apps, and a research program behind it — including an ICSE 2026 Distinguished Paper on aligning model behavior with real software-engineering tasks — rather than raw benchmark performance alone.
A limited-time free trial is advertised on the homepage, letting users try the agentic coding suite before subscribing; exact duration and usage limits are not specified.
Learn moreVerdent uses a credit-based subscription model alongside pay-as-you-go pricing, and supports BYOK (bring your own API key) and an Eco Mode for lower-cost model usage. A limited-time free trial is offered, but the homepage does not list specific dollar amounts or plan tier names.
Learn moreSupport resources include product documentation, guides, a changelog, a blog, and a Discord community; no direct email or live-chat support channel is mentioned on the homepage.
Works inside VS Code and JetBrains IDEs, ships as a native desktop app for Mac and Windows, and can be triggered remotely through Slack and Telegram messages.
Parallel AI agents plan, build, test, and refactor whole projects from natural-language prompts; Plan Mode breaks goals into tasks with minimal human check-ins; persistent memory retains project context and user preferences across sessions; Eco Mode and BYOK control model cost and choice; remote messaging via Slack and Telegram lets work continue away from the desktop.