Compare/Auto-Arch Tournament vs Onform

AI tool comparison

Auto-Arch Tournament vs Onform

Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.

A

Developer Tools

Auto-Arch Tournament

An AI agent loop that redesigns your RISC-V CPU and formally proves every win

Ship

75%

Panel ship

Community

Paid

Entry

Auto-Arch Tournament is an autonomous research system where an AI agent iteratively proposes, implements, and validates microarchitectural improvements to a RISC-V CPU. Starting from a standard 5-stage pipeline, the loop runs hypotheses in parallel, each going through formal verification (53 symbolic checks), cycle-accurate simulation, multi-seed FPGA place-and-route, and CoreMark CRC validation. Only hypotheses that beat the current champion get merged; everything else gets discarded. Starting from 301 iterations/second, the system hit 577 iter/s (+92%) across 73 attempts in 9.8 hours — producing a design 26% faster and 40% smaller in LUTs than the baseline. The insight the author drives home is that the real innovation isn't the AI agent — it's the verifier. The orchestrator is hardcoded to prevent agents from manipulating their own evaluation gates, a simple but critical design constraint that turns a creative process into a trustworthy one. Without a rigorous verification harness, agent-driven optimization becomes a confidence trick. This is early but fascinating proof that AI-driven hardware design loops can produce commercially meaningful gains. The repo uses Claude Code or Codex as the coding agent, SystemVerilog for the RTL, and standard open-source EDA tooling (Yosys, nextpnr, Verilator). It's a compelling template for anyone building agentic optimization loops where correctness matters.

O

Developer Tools

Onform

Build and manage forms from Claude using plain language

Mixed

50%

Panel ship

Community

Free

Entry

Onform is an MCP-native form builder — the first form tool designed around MCP as its primary interface rather than a visual drag-and-drop UI. You describe the form you want to Claude or Cursor, and Onform's MCP server creates it, adds fields, sets validation rules, configures submissions, and returns a live URL. No dashboard, no templates, no GUI required. The platform handles all the backend infrastructure: submission storage, email notifications, spam filtering, and export to CSV or webhook. Each form has a public URL and an admin API. Updating a form is as simple as telling your agent what to change. Onform is built for developers who create forms as part of larger agent workflows — onboarding flows, data collection pipelines, feedback loops — where manually clicking through a SaaS dashboard breaks the automation chain. It supports multi-step forms, conditional logic, file uploads, and custom branding via MCP tool parameters.

Decision
Auto-Arch Tournament
Onform
Panel verdict
Ship · 3 ship / 1 skip
Mixed · 2 ship / 2 skip
Community
No community votes yet
No community votes yet
Pricing
Open Source
Free tier / Paid plans
Best for
An AI agent loop that redesigns your RISC-V CPU and formally proves every win
Build and manage forms from Claude using plain language
Category
Developer Tools
Developer Tools

Reviewer scorecard

Builder
80/100 · ship

The hardcoded orchestrator pattern is the real take-home here. Building AI loops that can't game their own eval is a solved problem when you just... don't give the agent write access to the evaluator. Obvious in hindsight, rarely implemented.

80/100 · ship

MCP-first is the right design philosophy for developer tools in 2026. Being able to spin up a form with submission handling and webhook delivery through a Claude conversation — without touching a UI — removes a surprisingly annoying friction point in agent-built workflows.

Skeptic
45/100 · skip

63 out of 73 proposals failed. That's an 86% failure rate and heavy use of API credits on a narrow RISC-V benchmark. Impressive for a demo but the economics don't work yet for serious chip design at scale.

45/100 · skip

Typeform, Tally, and even Google Forms are hard to beat on price and ecosystem. The MCP angle is clever but the addressable market is narrow — most teams who need forms don't have an agent workflow they need to fit it into. The moat depends entirely on MCP adoption velocity.

Futurist
80/100 · ship

AI-driven hardware design is going to collapse the chip design cycle from years to weeks. This is a primitive ancestor of the tools that will design the next generation of AI accelerators.

80/100 · ship

Every data collection touchpoint that can be managed by an agent will be. Onform is a small example of how MCP will quietly restructure the SaaS tool category — tools that can't be controlled programmatically via agents will lose to tools that can.

Creator
80/100 · ship

The blog post that comes with this repo is one of the best pieces of technical writing I've seen in months. The transparency about failure rates and the verifier insight make it genuinely educational.

45/100 · skip

For most creative use cases — reader surveys, client intake, waitlist signups — the visual feedback of building a form matters. Describing a form in text and trusting the agent to get the layout right sounds good but loses something in translation for design-sensitive contexts.

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