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What is kodwai?

kodwai helps developers and hiring teams see how someone actually works with an AI coding agent. Instead of banning agents or only checking whether tests pass, each challenge is a realistic, ticket-sized task solved on the developer's own machine with Claude Code, Cursor or Codex. After submission, kodwai scores the session from 0 to 100 on Direction, Outcome and Lift, and every signal is tied to evidence from the transcript, commits and test runs. For developers it is free to practice, with a public profile and leaderboard: 3 scored submissions are included, then you bring your own Anthropic key. For companies, the hiring track runs custom interview projects sent with a one-link email invite, with live observation of prompts, commits, test runs and API cost, AI scoring against the team's own per-role rubric, manual team scores and side-by-side candidate comparison. Team pricing is available on request.

What is blume?

Blume functions as a specialized desktop sidecar designed for AI coding agents, allowing developers to track each agent's activities, ensure coherent project context, and detect potential drift before it affects the codebase. It works harmoniously with various tools, such as Cursor, Claude Code, Codex, omp, and Pi, bringing together agent activities, hidden files, skills, hooks, rules, and provider usage into one comprehensive interface. The Agents view offers valuable insights into the operational status of each coding agent, showing whether they are active, have completed their jobs, or are awaiting approval, while the Setup section discloses the instructions and configuration files that guide agent operations. Additionally, usage monitoring provides developers with the ability to track their remaining plan limits and token consumption across multiple providers like Claude, Codex, and Cursor, effectively reducing the likelihood of unforeseen interruptions. Blume also securely archives conversation history on the device, allowing users to review rules, skills, and hooks locally. Its Improve workflow is proactive in pinpointing persistent issues within conversations, categorizing related concerns, and proposing actionable enhancements, which can involve the introduction of new rules or the development of reusable skills, ultimately leading to a more refined coding experience. Moreover, this ongoing feedback mechanism encourages a dynamic development process, empowering teams to continuously adjust and enhance their workflows to meet evolving needs. In this way, Blume not only streamlines coding practices but also fosters collaboration among team members as they work towards common goals.

Media

Media

Integrations Supported

Claude Code
Cursor
OpenAI Codex
Claude
Codex CLI
Git
Node.js

Integrations Supported

Claude Code
Cursor
OpenAI Codex
Pi
omp

API Availability

API Availability

Pricing Information

Free
Free for developers: 3 scored submissions on kodwai's key, then connect your own Anthropic API key for unlimited submissions. The challenges, score, public profile and leaderboard are free. Hiring track for teams: contact us for pricing.
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Windows
Mac
Linux

Supported Platforms

Mac

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

kodwai

Company Location

Istanbul, Turkey

Company Website

www.kodwai.com

Company Facts

Organization Name

blume

Company Location

United States

Company Website

blume.codes/

Categories and Features

Coding Challenge

Kodwai is an innovative platform designed for interactive coding challenges that promote self-guided learning. Each challenge presents practical, bite-sized tasks—ranging from building a REST API for a bookshelf to creating a simplified Raft log. These tasks are crafted with hidden complexities that a straightforward prompt might overlook. Participants utilize their own AI coding assistant to tackle these challenges, and their performance is measured based on how effectively they guided the AI, rather than merely on test success. Scores are based on three criteria: Direction, Outcome, and Lift, each rated from 0 to 100, complete with supporting evidence for every metric. The platform features a public leaderboard, and users can track their Direction rating which updates with each challenge attempt, along with the opportunity to compete in a weekly league.

Not specified

Categories and Features

AI Coding Agents

Not specified

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