GAN-inspired three-agent harness that pits a generator against an adversarial evaluator to build applications with quality gates at every step. Built with Claude Agent SDK and Codex SDK.

Claude Code plugin: Plan and build with cross-model Codex adversarial review

Substance… and style!

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A structured development workflow for Claude Code that uses adversarial quality gates to catch real problems before they reach production.

Stub version of dev_toolkit for CAAD2018

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AI Powered Parametric Insurance Platform with Fraud Detection & Anti-Spoofing

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This project is an implementation of the game Othello with the help of alpha-beta pruning used as Adversarial searching. Here in this project we are basically finding the value from the current node to terminal node by traversing the whole tree using look ahead Depth First Search .Compare heuristic value with certain value depending on its stability and mobility etc . Then we are backtracking upwards and finding the best path from current to terminal node using alpha-beta pruning. When the tree size is very large then it is enough for any machine to hang. That’s why in future I want to implement it using Reinforcement learning. It is based on the simple concept “I can’t exploit until I explore”. But for this game this process is still good. In many college technical festival this game has been used as a event and it is still unbeatable . Because i think that it is quiet impossible to give 100 % accurate simultaneous moves by a human.

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This project isbased on the creation of Deep Learning algorithms to identify brain disorders of patients. This technology canbe applied in healthcare for tasks such as early identification of adversarial brain disorders.

This project is based on the creation of Deep Learning algorithms to identify brain disorders of patients. This technology can be applied in healthcare for tasks such as early identification of adversarial brain disorders.

Claude Code multi-agent kit — Project Manager, Context King, Senior Dev, Adversarial Reviewer, Committer

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Multi-agent adversarial dev workflow templates: Claude Code (builder) + Codex (reviewers) + GitHub Actions (orchestrator)

Multi-agent adversarial harness that sets a generator against an evaluator, with quality gates. Built with Claude Agent SDK (and Codex SDK). Initial version by https://github.com/coleam00/adversarial-dev

Final-year CS with AI student at University of Liverpool. Portfolio showcasing projects in adversarial ML, computer vision, iOS dev & cloud. Python · PyTorch · Swift · SQL · React.

Automated red-teaming & real-time firewall for AI agents. Test for prompt injection, jailbreaks & adversarial attacks with 70+ OWASP-aligned scenarios. Shield blocks attacks in <20ms. Python & Node.js SDKs. Free plan available. https://botguard.dev

Open-source artifact integrity framework for AI-assisted dev. Every artifact (code, tests, docs, IaC, schemas) goes through the same pipeline: produce → adversarial verify → mechanical proof → drift detection. Separate the producer from the verifier, then prove the verification is sound.

Multi-agent, multi-engine dev intelligence platform. Every task passes through a 4-step adversarial refinement protocol across 3 independent AI engines. Two modes: Yoda (research) and Ronin (implementation + code). Post-quantum audit trails via PlenumNET. Engine-agnostic: self-hosted, commercial, or free-tier.