AI coding agents are quickly becoming part of everyday software development. They write functions, fix bugs, run tests and install tools on their own. At Codiantech, a software development company in Lisbon, we're watching this shift closely. The speed is appealing, but it also gives attackers something new to aim at. Here is what we think every business should know about AI coding agents and security.
What Just Happened
This week, security firm Air Security reported a flaw in four widely used AI coding agents. Someone who controls a plugin's code repository can swap the plugin an agent installs for a malicious one, even when the agent had locked that plugin to a specific reviewed version.
For us, the takeaway is clear: "we reviewed it and pinned the version" is not enough on its own. If an agent can be tricked into installing something different from what was approved, the review didn't protect you.
A Bigger Pattern in Software Supply Chain Security
This isn't an isolated incident. Attackers increasingly go after the tools and packages developers depend on, rather than the finished product:
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Hackers used a compromised API key to inject malware into 100,000 websites through Brevo.
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A supply-chain attack on npm spread through hundreds of packages and targeted developer and cloud credentials.
AI-assisted development raises the stakes because agents install and run things quickly, often with real access to code, servers and credentials. That matters for web projects and for mobile app development alike, since the same tools help build iOS and Android apps.
There is some reassurance. According to CNN's reporting, experts say people are still the ones pulling the strings, and AI agents have mostly made existing attack methods like phishing and malware scams more effective rather than creating wholly new ones. The old rules still apply, but they now need to cover a new kind of worker.
Our Advice: Treat Your AI Agent Like a New Employee With Access
An AI agent is effectively a new team member who never sleeps and can make changes in seconds. You wouldn't give a new hire admin access to everything on day one, and the same logic applies here. Security guidance for 2026 recommends mapping every non-human actor in your environment and setting governance policies before deploying any autonomous AI tools.
The Codiantech Checklist for Secure Software Development
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Limit access : Give agents only the permissions they need for the task, and never production credentials by default.
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Review what they install : Treat plugins, extensions and packages as untrusted until verified, even if a version was pinned earlier.
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Keep a human in the loop : Require a person to review and approve code before it is merged or deployed.
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Protect your secrets : Keep API keys and tokens out of code and out of the agent's reach, and rotate them if you suspect exposure.
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Log everything : Keep a record of what the agent did, so you can investigate quickly if something goes wrong.
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Scan dependencies : Check third-party packages continuously, not just once at the start of a project.
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Write an AI usage policy : Decide which tools are allowed, what data they can see and who is responsible for them. Some teams turn the rules into short animated explainer videos so staff actually remember them.
The industry is moving in this direction too. New products aim to give AI agents the operational context and permissions to act, governed by the same controls already enforced across the delivery pipeline. The principle is that agents should work inside your existing security rules, not around them.
Should You Avoid AI Coding Tools?
No. Used carefully, they make teams faster and can help catch problems earlier. The goal is to use them with the same discipline you apply to the rest of your software process. Speed without controls is how small mistakes become big incidents.
Why Businesses Choose Codiantech for Secure Software Development
Since 2017, Codiantech has helped businesses turn ideas into working software. We offer custom software development and mobile app development with security and reliable delivery in mind, and we're ready to talk about how AI tools fit into your projects. See examples of our work in our portfolio, visit codiantech.com, or reach out to our team at info@codiantech.com.
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