Posts tagged "AI Agents"

Tag Archives: AI Agents

The Coding Agent No Longer Waits for the Developer: Software Is Being Developed Even When the Team Is Offline

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For decades, software development has been directly tied to the presence of the developer. The developer opens the development environment, analyzes the problem, writes the code, runs the tests, reviews the results, and then decides what the next step should be. Even when artificial intelligence entered this process, the initial model remained almost the same. … Continue reading The Coding Agent No Longer Waits for the Developer: Software Is Being Developed Even When the Team Is Offline →

AI Is Writing the Code, but Who Is Accountable When It Fails?

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For decades, accountability in software development has been relatively clear. The developer writes the code. The team reviews it. Tests verify that it works. The organization decides whether the software is ready to be deployed to production. But AI is changing one of the most fundamental links in this process. Today, a coding agent is … Continue reading AI Is Writing the Code, but Who Is Accountable When It Fails? →

Is the Coding Agent as Secure as the Code It Writes?

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For years, one of the main questions in software development has been: is the code secure? Developers analyze vulnerabilities, check dependencies, test applications, and determine which users can access different parts of a system. But the introduction of coding agents into the development process is creating another question. Is the agent that writes and executes … Continue reading Is the Coding Agent as Secure as the Code It Writes? →

When Context Hinders AI: Why Must an Agent Also Know What to Forget?

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When an AI Agent works on a software task, context is one of its most important resources. It may include the user’s request, project files, change history, team instructions, system architecture, and conclusions drawn from previous tasks. At first glance, it may seem that the more information an agent receives, the better the result will … Continue reading When Context Hinders AI: Why Must an Agent Also Know What to Forget? →

From One Vulnerability to the Next Fix: How Is AI Creating Security Memory?

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Fixing a software vulnerability is typically treated as the resolution of a specific problem. The team identifies the cause, prepares the change, verifies the code, and closes the security alert. The knowledge created during this process may be documented, but it is not always retrieved automatically when a similar problem appears. The use of Artificial … Continue reading From One Vulnerability to the Next Fix: How Is AI Creating Security Memory? →

Cloud or Local Device? Why Are AI Applications Using Both?

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For years, Artificial Intelligence applications have relied primarily on the cloud. Data is sent to a remote server, the model processes it, and the response is returned to the application or the user. This model provides high processing power and access to advanced models, but it is not always the most suitable solution. Some processes … Continue reading Cloud or Local Device? Why Are AI Applications Using Both? →

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