AI tool comparison
Dirac 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
Dirac
Open-source coding agent that crushed TerminalBench-2 at 64.8% lower cost
75%
Panel ship
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Community
Free
Entry
Dirac is an open-source AI coding agent built by Dirac Delta Labs that shot to the top of TerminalBench-2 with a 65.2% score using Gemini Flash — while costing 64.8% less than competing agents. Forked from Cline and rebuilt with a performance-first architecture, it handles file modifications, multi-file refactoring, terminal commands, and browser automation through an approval-based workflow. What sets Dirac apart is its technical substrate: hash-anchored edits replace fragile line-number targeting with stable content hashes, AST-native processing understands language structure for TypeScript, Python, and C++, and multi-file batching reduces LLM roundtrips by processing several files per call. The result is a leaner context that preserves model reasoning quality without burning through tokens. Available as both a VS Code extension and an npm CLI, Dirac supports Anthropic, OpenAI, Google, Groq, and Mistral as backends. Its Apache 2.0 license and strong TerminalBench showing on the affordable Gemini Flash model make it a compelling pick for developers who want production-grade coding assistance without the per-token bill shock.
Developer Tools
RisingWave Agent Skills
Teach 18 AI coding agents to write correct streaming SQL — no hallucinated syntax
50%
Panel ship
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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
“Topping TerminalBench-2 while being 64.8% cheaper is the kind of benchmark that actually matters to developers. The hash-anchored editing and AST-native approach fix the two most annoying failure modes of existing coding agents — wrong line edits and syntax-blind refactors.”
“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.”
“It's a Cline fork with smart optimizations — not a ground-up rethink. TerminalBench-2 scores are reproducible only if you're running similar tasks; complex real-world codebases may tell a different story. Also, requiring your own API key still means real money.”
“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.”
“The race to build the cheapest, most accurate coding agent is the real infrastructure play of 2026. Dirac's multi-provider support and lean context model are exactly the primitives that make agentic coding deployable at scale — not just on powerful machines.”
“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.”
“The VS Code extension makes it approachable for designers who code. Approval-based workflows mean it won't silently rewrite your carefully named CSS classes. Worth trying if you've been burned by agents that act first and apologize later.”
“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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