AI tool comparison
Cursor 3 vs RisingWave Agent Skills
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Developer Tools
Cursor 3
The AI IDE rebuilt for agent orchestration — run 10 parallel agents, ship while you sleep
75%
Panel ship
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Community
Paid
Entry
Cursor 3 launched on April 2, 2026 with the biggest architectural shift since the team forked VS Code. The new Agents Window lets developers run multiple AI agents in parallel — each in its own isolated VM on a separate Git branch — while you stay in the editor reviewing their work. Background agents handle full feature implementations, batches of bug fixes, or multi-file refactors without blocking your current session. The release also introduces Design Mode, which lets developers click any UI element and describe changes in plain English — the agent handles the implementation. Composer 2, Cursor's in-house model trained specifically on code editing, ships alongside it with tighter context handling and fewer hallucinated diffs. Cloud agent handoff, multi-repo layout, and seamless local/remote context switching round out the release. The deeper shift is philosophical: Cursor is no longer positioning itself as a smart code editor — it's an agent orchestration platform that happens to include an IDE. The interface now treats the developer as a director, not a typist. Cursor 3 demotes the editor window to a fallback for review; agents are the primary execution surface.
Developer Tools
RisingWave Agent Skills
Teach 18 AI coding agents to write correct streaming SQL — no hallucinated syntax
50%
Panel ship
—
Community
Free
Entry
RisingWave's agent-skills package injects streaming SQL expertise into 18 AI coding assistants (Claude Code, GitHub Copilot, Cursor, Windsurf, and more) via the agentskills.io open spec. It ships two skill modules: core RisingWave connectivity and 14 best-practice rules covering CDC ingestion, materialized view patterns, time-windowed aggregations, and common pitfalls. Install via npm CLI which auto-detects which agents you have installed. Apache 2.0 licensed.
Reviewer scorecard
“Parallel background agents are the feature I didn't know I needed until I watched three features ship while I was reviewing a PR. The Design Mode for UI changes alone saves me 20 minutes a day. This is the IDE I'm staying on.”
“AI coding assistants hallucinate streaming SQL constantly — CDC ingestion patterns, windowed aggregations, and materialized view semantics are all places where generic training data fails hard. An installable skill package that auto-detects your agents and patches in correct context is exactly the right fix. Worth adding if you're building on RisingWave.”
“Parallel agents sound magical until you're untangling six conflicting branches, each with partial implementations that don't compose cleanly. The agent context window still breaks on large monorepos, and $40/mo per seat adds up fast when you're a team of 20. Wait for the enterprise tier to mature.”
“This only matters if you're already using RisingWave, which is a niche streaming SQL database with a much smaller user base than Postgres or Kafka. Four stars on GitHub suggests the audience is narrow. The agentskills.io spec is interesting as a standard but it's vapor if no one else adopts it.”
“This is the first IDE that treats human-in-the-loop as a design principle rather than an afterthought. Developers directing fleets of agents on isolated branches will become the norm within 18 months — Cursor 3 is the first production-grade preview of that workflow.”
“Every database, framework, and specialized API is going to need its own skill package for AI coding agents. RisingWave is just the first mover on an inevitable pattern. The open spec is the actually important thing here — it could become how the entire ecosystem teaches agents about domain-specific tools.”
“Design Mode is a genuine game-changer for frontend developers. Clicking a component and describing what you want in plain English — without context-switching to a prompt — feels like sketching. It collapses the feedback loop between design intent and implementation.”
“Not really in my wheelhouse — streaming SQL and data pipelines are developer infrastructure. But the 'teach your AI assistant the local dialect' concept is one I'd love to see applied to design systems, component libraries, and brand guidelines. Someone should build this for Figma.”
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