Alternatives
Products that do what Aegis does
Verify security-sensitive code changes before they merge
- 1Aegisora▲93
The narrow control plane for AI agent tool and API calls.
Aug 2026 · aegisora-ai.vercel.app
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Hey HN – I built a framework called Aegis to govern AI-assisted software development. The core idea is that AI-generated code should follow the same rules as human code: versioned, validated, observable. Aegis enforces this through blueprint-based development, drift detection, and runtime compliance systems. It’s designed for teams using tools like Copilot, Kilo, or Lovable to build production systems with confidence. This isn’t a library — it’s a way to architect AI-native engineering workflows. Would love feedback, questions, and critiques. Especially curious if others are facing similar…
2025 · github.com
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Security linter for vibe coding: fix vulns as you build
Jan 2026
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Hi HN, Martin, Nils, and Jannes here. We are building Legit, an open source version control and collaboration layer for AI agents and AI native applications. You can find the repo here https://github.com/Legit-Control/monorepo and the website here https://legitcontrol.com Over the last years, we worked on multiple developer tools and AI driven products. As soon as we started letting agents modify real files and business critical data, one problem kept showing up. We could not reliably answer what changed, why it changed, or how to safely undo it. Today, most AI…
Jan 2026
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From insight to behavior: a AI OS for leaders and founders
19d ago · aegis.humancatalystbeacon.com
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Hey HN, I've been building Aether, a background agent that takes production errors from Sentry and attempts to turn them into verified pull requests. When a new error hits your Sentry project: 1. Sentry webhook fires with the stack trace, breadcrumbs, and context 2. Aether spins up an isolated Fly.io VM and clones the repo at the relevant commit 3. Agent analyzes the stack trace, reproduces the issue, proposes a fix 4. Starts the dev server, re-runs tests, and can verify the running app with Playwright (headless Chromium is pre-installed in every VM) 5. A review pass evaluates the diff…
Feb 2026
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Today you can easily adopt AI coding tools because you have git for branching and rolling back if AI writes bad code. We haven't seen this same capability for data and decided to build it ourselves. Nile is a new kind of data lake, purpose built for using with AI. It can act as your data engineer or data analyst creating new tables and rolling back bad changes in seconds. We support real versions for data, schema, and ETL. We'd love your feedback on any part of what we are building - https://getnile.ai/ What do you think?
Jan 2026
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