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Principles for Building One-Shot AI Agents
EdgeBit is a security platform that helps application engineering teams to find and fix security vulnerabilities. The Dependency Autofix feature contains an extremely accurate reachability engine to identify impact to your app. Most updates have no impact, so engineers using EdgeBit can dedicate efforts on impactful upgrades. This translates to more time spent “on-mission” instead of managing dependencies. This post will cover how to identify areas that can 1) use focused tools, 2) smartly handle errors and 3) harness the persistence of an AI agent to unlock massive efficiency gains, like we have done for Dependency Autofix, with some data to back it up.
This post will cover how to identify areas that can 1) use focused tools, 2) smartly handle errors and 3) harness the persistence of an AI agent to unlock massive efficiency gains, like we have done for Dependency Autofix, with some data to back it up. The web app with Redis test case was also benchmarked against Claude Code by simulating a one-shot workflow which was manually agreeing with every change it wanted to make. The opportunity to establish hard and soft failures is what allows EdgeBit to be consistently successful with one-shot dependency updates and code maintenance to adapt to new API changes.
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