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Products that do what ContractScan does
Find smart contract vulnerabilities in seconds
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Scored 65.2% vs google's official 47.8%, and the existing top closed source model Junie CLI's 64.3%. Since there are a lot of reports of deliberate cheating on TerminalBench 2.0 lately (https://debugml.github.io/cheating-agents/), I would like to also clarify a few things 1. Absolutely no {agents/skills}.md files were inserted at any point. No cheating mechanisms whatsoever 2. The cli agent was run in leaderboard compliant way (no modification of resources or timeouts) 3. The full terminal bench run was done using the fully open source version of the agent, no…
Apr 2026 · github.com
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2017 · tool.smartdec.net
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Hi everyone, GitHub's CodeQL is a powerful semantic code analysis engine for identifying vulnerabilities across codebases. We've extended CodeQL to support Solidity, the most popular programming language for smart contracts. CodeQL enables you to query code as though it were data, and it's open-source (OSS). You can check it out here: . The product page is available at . CodeQL has its own licensing model, which you can find at https://codeql.github.com/. TL;DR: CodeQL is free for research and open-source projects.
2024 · github.com
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AI-powered smart contract vulnerability scanner
Apr 2026 · thevulnguardai.tech
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I built a GitHub app that detects it in pull requests, notifies or blocks them. Alongside it, I published a Semgrep ruleset for any stage of the CI/CD. I started this after getting frustrated by all the FUD around malicious code - lots of noise, little effort to solve it. Having said that, it's still a major attack vector - a stored RCE, with the codebase itself as the sink. Feedback is appreciated. The app, PRevent - https://github.com/apiiro/PRevent The ruleset: https://github.com/apiiro/malicious-code-ruleset The research:…
2025 · github.com
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AI that scans contracts for hidden risks in 3 seconds
Jul 2026 · rotten-signs-reply.loca.lt
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I’ve been tinkering with what a “multi-agent IDE” should look like if your day-to-day workflow is mostly in terminal (Claude Code, OpenAI Codex, etc.). The more I played with it, the more it collapsed into three fundamentals: * A good TUI: Terminal is the center stage, with other stuff (CodeEdit, Diff, Review) baked on the side. I don’t like piping Agent’s output through some electron wrapper, here you get to run CC/Codex/Droid/Amp/etc directly. * Isolation: agents shouldn’t step on each other’s toes. The simplest primitive I’ve found is Git worktrees. It is not as…
Jan 2026 · agentastic.dev
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AI contract review in seconds. Built for freelancers + SMB
Feb 2026 · contractclarifyai.com
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At Laminar (https://github.com/lmnr-ai/lmnr) we're building open source AI observability platform in Rust. We obsess over instrumentation DX for our Python and TS SDKs and in this new blog we outline how we made the most seamless way of instrumenting recently released claude agent sdk
Dec 2025 · laminar.sh
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Ranked by how close each launch is in meaning, then by votes. Refine with a description →