How to Capture Images with oCam
Clicking the Capture button on the main screen of oCam immediately captures the screen within the recording area you have set. This feature is very useful when you want to save a precise snapshot of a specific part of the screen. Through oCam's intuitive interface, users can freely adjust the capture area in advance and take screenshots exactly as needed by selecting the full screen, a specific window, or a custom area. This flexibility is especially useful for document work, preparing presentation materials, or for IT professionals who need to record specific UI elements.
Once the capture is complete, oCam saves the image in PNG format by default, providing a sharp, high-quality result. PNG format supports lossless compression, so you can keep clear screenshots without any loss of image quality, and it is compatible with most image editing software and platforms. In the oCam settings menu, users can also change the save format to other types such as JPG or BMP, allowing them to balance file size and quality according to project requirements.
To check the captured image, click the "Open" button on the main screen of oCam. When you click this button, Windows Explorer opens automatically and shows the most recently captured file already selected. This feature helps users review and use captured images right away. Since it takes you directly to the folder where the file is saved through Windows Explorer, file management also becomes much easier.
oCam's capture feature is simple yet powerful, making it useful in a wide range of situations from everyday tasks to professional environments. For example, software developers can use it to record bugs or share UI designs, while instructors can use it to prepare teaching materials. In addition, through the oCam settings menu, you can change the save location to a custom folder or set file naming rules when capturing for more organized file management. In this way, oCam provides high-quality screenshots with simple controls and greatly improves work efficiency.
Today's News/Tips
Anthropic Unveils โChannels,โ a New Way to Control Claude Code Sessions Directly from Mobile
Anthropic has introduced Channels, a new feature that makes it much easier to use Claude Code in mobile environments. With this update, users can control their AI coding agent through messaging apps like Telegram and Discord, sending instructions from their smartphones as casually as they would text a friend.
At launch, Channels supports Telegram and Discord first. This means users no longer need to be sitting in front of a desktop development setup to interact with an active Claude Code session. Whether they are commuting, away from their desk, or simply on the go, they can reconnect to an existing session and send prompts in real time. Requests like โcheck that error again,โ โsummarize the test results,โ or โcontinue refactoring that codeโ can now be handled directly from a mobile device.
What makes this update especially interesting is how it expands the development environment into communication tools people already use every day. Until now, coding agents were typically accessed through traditional developer interfaces such as IDEs or terminals. With Channels, familiar messaging apps themselves become the interface for directing the agent. Instead of learning a new workflow, users can collaborate with AI in an environment that already feels natural and intuitive.
Another important aspect is continuity of context. This is not just about sending isolated commands from a phone. Users can stay connected to the flow of an existing session and continue work without losing momentum. That makes the feature especially practical for developers who are in meetings, traveling, or working asynchronously with teammates. Even when they are away from their main machine, they can still monitor progress and provide instructions as needed.
Ultimately, Channels makes AI coding agents more accessible, more lightweight, and more integrated into everyday work. It reflects a broader shift away from development environments tied to a single device or location, and toward workflows that can continue anywhere. If Anthropic expands platform support and continues refining the experience, messenger-based AI development workflows could become mainstream sooner than many expect.