DevIntern
DevIntern takes work from raw idea to merged pull request inside the tools your team already uses. @devintern/pm turns rough task descriptions, a paragraph of notes, a design, a bug report, into well-specced tickets your engineers can actually start from. @devintern/code picks those tickets up, implements them with your AI agent of choice, self-reviews its own diffs before a human sees them, and responds to reviewer comments on the resulting PR automatically.
The problem. AI has made writing code fast, but everything around it (drafting the spec, opening the PR, replying to review nits, keeping the tracker in sync) still takes hours. That overhead is where the productivity gains evaporate. DevIntern compresses the whole cycle so the speed your AI tooling already gives you turns into shipped tickets, not just faster keystrokes. It also opens a path for non-technical teammates (PMs, designers, founders, support) to ship real code and features end-to-end, without waiting on engineering
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Rezonant
Rezonant turns product vision into engineering-ready work by capturing product intent and carrying it all the way through tasks, agents, and shipped code. It acts as the layer between what a team wants to build and what gets deployed, understanding the product, codebase, and context, then orchestrating AI agents to ship work that is correct and aligned with what the team intended. Rezonant helps teams decide what to build, break it down, and translate PRDs, feedback, UX issues, and prototypes into structured implementation work. Its ticket generation creates context-rich tasks that can be pushed directly to Jira or Linear, giving coding agents the technical detail they need to execute. Rezonant Alter, its Chrome extension, lets users point at what they want to change on a live product, record spoken feedback, select UI elements, describe changes in plain English, and turn everything shown on screen into specs or focused tickets grounded in the real architecture.
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Reqode
Reqode is a structured context layer designed for AI-assisted software engineering. It bridges the gap between product specifications, architecture, and source code — ensuring alignment across teams and AI systems throughout the development lifecycle.
As organizations adopt LLMs and AI coding agents, a new challenge emerges: context drift. Requirements evolve, code diverges from specifications, and AI-generated output gradually loses connection to product intent. Reqode solves this by introducing a structured product model that serves as a shared, machine-readable source of truth for both humans and AI.
With Reqode, teams can formalize domain logic, requirements, and architecture into a consistent context layer that AI tools can reliably use for code generation, analysis, and refactoring. This enables scalable AI adoption without sacrificing system integrity or traceability.
Key benefits:
- Structured, AI-ready product context
- Alignment between specs, architecture, and cod
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Drift
Drift is a conversational marketing platform designed to help businesses engage website visitors and convert them into qualified sales opportunities. The platform uses AI-powered chat agents to start real-time conversations with prospects directly on a company’s website. Drift helps marketing and sales teams identify high-intent buyers, answer questions instantly, and guide visitors toward booking meetings or speaking with a representative. By replacing traditional forms with interactive conversations, businesses can improve the buying experience and accelerate lead qualification. Drift also provides insights into website visitor behavior, helping teams understand which prospects are most likely to convert. The platform integrates with existing sales and marketing tools to support a seamless revenue workflow. By combining real-time engagement with buyer insights, Drift helps companies generate more pipeline and close deals faster.
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