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Description

Harden AIF serves as a security platform specifically designed for AI coding agents, ensuring agent endpoint security by assessing tool calls prior to execution based on the developer's intent, session context, organizational policy, and the potential impact of the action proposed. This platform effectively safeguards against threats such as harmful commands, unauthorized access, accidental data transfers, exposure of sensitive information, misuse of privileges, and other risky actions undertaken by agents. By allowing legitimate operations to proceed without disruption, it can also safely redact sensitive information during supported workflows while preventing actions that deviate from the developer's intent or exceed their authority from executing. Harden AIF is compatible with a variety of widely used coding agents and development tools, including Claude Code, Codex, Cursor, Antigravity CLI, Kiro, Hermes, and OpenClaw, thus offering a uniform security framework throughout the agent ecosystem. This comprehensive approach not only enhances security but also fosters a safer environment for developers working with AI technologies.

Description

Anyone can get an AI agent to turn tests green on a toy problem. kodwai measures the part that is harder to fake: how well you direct it. Developers pick a real engineering challenge (a CRDT text buffer, an event-sourced ledger, a zero-downtime migration), pull it down with npx @kodwai/cli@latest challenge <slug>, and solve it locally with Claude Code, Cursor or Codex. No browser sandbox. When they run npx @kodwai/cli@latest submit, kodwai reads the session (prompts, commits, test runs) and returns a 0 to 100 score across three axes: Direction (how you steer, verify and decompose), Outcome (what shipped, replayed and stress-tested) and Lift (how far you beat a solo AI). Each signal cites its evidence, and the score comes with a confidence interval instead of false precision. Developers get 3 free scored submissions, then connect their own Anthropic key for unlimited runs. Teams can use the hiring track to run private real-world interviews.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

Claude Code Yes 
Cursor Yes 
OpenAI Codex Yes 
Antigravity CLI Yes 
Claude No 
Codex CLI No 
Git No 
Google Antigravity Yes 
Hermes Agent Yes 
Kiro Yes 
Node.js No 
OpenClaw Yes 

Integrations

Claude Code Yes 
Cursor Yes 
OpenAI Codex Yes 
Antigravity CLI No 
Claude Yes 
Codex CLI Yes 
Git Yes 
Google Antigravity No 
Hermes Agent No 
Kiro No 
Node.js Yes 
OpenClaw No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

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 Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Harden

Founded

2025

Country

United States

Website

harden.run/

Vendor Details

Company Name

kodwai

Country

Istanbul, Turkey

Website

www.kodwai.com

Product Features

Product Features

Coding Challenge

Kodwai is an innovative platform designed for hands-on coding challenges that emphasize agency in coding. The challenges presented are practical, bite-sized tasks—ranging from creating a bookshelf REST API to implementing a simplified version of the Raft consensus algorithm—and each task incorporates subtle pitfalls that a simple prompt might overlook. Participants tackle these challenges locally using their own AI coding agents, and the scoring system evaluates not only the success of the tests but also how effectively the user guided their agent. Scores are based on three criteria: Direction, Outcome, and Lift, with a scale from 0 to 100 and detailed evidence for each metric. The platform features a public leaderboard, a dynamic Direction rating that updates with each scored attempt, and weekly competitions to foster a sense of community.

Alternatives

Alternatives

No Alternatives