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Telegram macOS Developer Says 99.9% of Client Code Is Now Written by AI and Suggests Firing Manual Coders

Mike, the developer of the official Telegram client for macOS, stated that artificial intelligence now generates 99.9 percent of the messenger's client code. He argued that programmers who continue writing code manually should be dismissed. In a Telegram discussion, Mike cited the gram.org website as an example created entirely with AI assistance in a single day, with domain support from Pavel Durov. He also described adapting the iOS client for a foldable iPhone Duo overnight using Claude. According to Mike, even designers are now contributing to client code, and 80 to 90 percent of Telegram developers share his positive view of AI tools. When participants raised questions about code quality and security, Mike replied that AI also identifies and fixes vulnerabilities, claiming the resulting code is superior to human-written equivalents. He further announced plans to open a new GitHub repository for the macOS client source code, as the previous repository had not been updated for over a year.

AntiMalwareTranslated from Russian

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Telegram macOS developer Mike has claimed that generative artificial intelligence now produces 99.9 percent of the code for the messenger's official clients. He proposed that developers who insist on writing code manually should be fired.

In a public discussion inside Telegram, Mike presented several examples of rapid AI-assisted development. One project, the website gram.org, was reportedly built with AI tools in a single day; Pavel Durov provided the domain after approving the idea. Another case involved adapting the iOS client for a foldable iPhone Duo device overnight using the Claude model.

Mike noted that designers within the team are now directly contributing to client code thanks to AI assistance. He added that between 80 and 90 percent of Telegram developers share his assessment of the technology's value.

Participants in the discussion questioned the quality and security implications of AI-generated code. Mike responded that vulnerabilities are also detected and remediated by AI, resulting in what he described as higher-quality output than traditionally written code. He characterized the workflow as a closed loop in which one neural network writes the code and another verifies it.

No comparative security audit results were provided to support these claims. Mike also announced that a new GitHub repository containing the macOS client source code will be opened, allowing external contributors to submit changes. The previous repository had remained inactive for more than a year.

GitHubTelegramClaudePavel DuroviPhone Duo
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