Head-to-Head Comparison

whatbroke vs Vizhi

Comprehensive feature analysis, ratings breakdown, platform compatibility, and community review comparison.

whatbroke

whatbroke

Open Source

Diff two agent runs and see exactly what changed

No ratings (0 reviews)6 Upvotes
Vizhi

Vizhi

Open Source

Mission control for Codex CLI on a Logitech MX keypad

No ratings (0 reviews)68 Upvotes

Detailed Feature Comparison Matrix

Compare Other Tools
Dimension
whatbrokewhatbroke
VizhiVizhi
Primary CategoryOpen SourceOpen Source
Community Rating
No ratings(0 reviews)
No ratings(0 reviews)
Community Upvotes6 votes68 votes
Supported Platforms
Web
Web
Tags & Focus
#Developer Tools#GitHub#Artificial Intelligence#Open Source
#Developer Tools#OpenAI Day#GitHub#Artificial Intelligence#Open Source
Maker / CompanyIndependent DeveloperIndependent Developer
Platform VerificationCommunity ListingCommunity Listing

About whatbroke

whatbroke is an open-source developer tool designed to help developers inspect and debug AI agent workflows. By diffing two separate agent runs, it allows users to see exactly what changed between execution cycles.

The tool provides detailed visibility into the operational behavior of AI agents by showing which tool calls fired, how the arguments differed, what each run cost, and where the final outputs diverged. Additionally, whatbroke is built to fit seamlessly into modern development workflows; it can be integrated directly into your Continuous Integration (CI) pipeline to automatically fail builds when a critical call is dropped.

To make ingestion easy, whatbroke natively reads data from multiple standard formats and observability platforms, including JSONL, OpenTelemetry, Langfuse, and LangSmith exports.

Pros of whatbroke

  • Open-source and accessible on GitHub
  • Integrates into CI pipelines with the ability to fail builds on dropped calls
  • Provides granular diffs of tool calls, arguments, costs, and output divergence
  • Supports popular observability formats including OpenTelemetry, Langfuse, LangSmith, and JSONL

Cons of whatbroke

  • No standalone cloud hosting or graphical UI mentioned
  • Requires existing telemetry or export data to perform comparisons
  • Primarily tailored for AI agent workflows rather than generic software debugging

Frequently Asked Questions

What is whatbroke?

whatbroke is an open-source developer tool that compares (diffs) two AI agent runs to identify exactly what changed, including tool execution, argument differences, costs, and output deviations.

Which formats and platforms are supported by whatbroke?

whatbroke can read and process exports from JSONL, OpenTelemetry, Langfuse, and LangSmith.

Can I use whatbroke in my CI/CD pipeline?

Yes, you can run whatbroke within your Continuous Integration (CI) environment and configure it to fail your build if a dropped call is detected.

About Vizhi

Vizhi (named after the Tamil word for 'eye') is an open-source hardware mission control interface engineered for developers managing concurrent AI coding sessions. Created by indie developer Ravi Shankar during OpenAI Build Week, Vizhi addresses a modern workflow bottleneck: as autonomous coding assistants handle the bulk of software generation, developer attention shifts towards monitoring, approving, and steering multiple terminal processes. Vizhi maps these supervisory tasks directly onto physical hardware via the Logitech MX Creative Keypad, turning its dynamic LCD keys into a dedicated command deck. The system tracks up to six active Codex CLI sessions simultaneously across macOS terminal tabs, binding each session to a persistent LCD key showing its live status and context consumption. When an AI agent reaches a permission checkpoint or command execution gate, the corresponding key lights up in amber or red, enabling instant, one-press approvals directly from the keypad without switching windows. Beyond physical controls, Vizhi integrates offline Whisper-based voice dictation to send spoken prompts straight to agents, backed by TTY-verified safety delivery. For developers without the physical Logitech keypad, Vizhi includes a local browser-based companion dashboard that mirrors session supervision entirely offline.

Pros of Vizhi

  • Transforms physical keypad hardware into an intuitive, glanceable control deck for up to six simultaneous Codex CLI sessions
  • One-touch hardware approval keys reduce window-switching fatigue during multi-agent workflows
  • Completely local and private architecture with on-device Whisper transcription and token-protected TTY verification
  • Includes a browser-based local dashboard fallback for developers without the Logitech MX keypad
  • Open-source and highly customizable key-binding configuration

Cons of Vizhi

  • Full hardware experience requires a specific peripheral (the Logitech MX Creative Keypad)
  • Currently tailored specifically to macOS and Apple Terminal environments
  • Requires manual local setup spanning multiple toolchain components

Frequently Asked Questions

What is Vizhi and how does it help developers?

Vizhi is an open-source supervisor dashboard that connects Codex CLI agent sessions to the Logitech MX Creative Keypad, allowing developers to monitor active sessions, approve terminal actions with one press, and issue voice prompts.

Do I need a Logitech MX Creative Keypad to use Vizhi?

No. While the system is optimized for the physical LCD keys of the Logitech MX Creative Keypad, Vizhi includes a local browser dashboard that provides full session monitoring and controls on your computer screen.

How does voice prompting work in Vizhi?

Vizhi features a dedicated Voice key powered by local Whisper transcription. Spoken instructions are transcribed on-device without cloud API dependencies and sent directly to the targeted agent terminal.

Is Vizhi safe to use for terminal command approvals?

Yes. Vizhi runs entirely on your local machine and uses token-protected, TTY-verified approval delivery with visual color-coded badges to guard against unauthorized or accidental command executions.

Need to explore more tools?

Discover thousands of categorized artificial intelligence tools, curated personal AI stacks, and authentic user reviews.