Autonomous AI Coding Agents Now Running Full SDLC Tasks Unsupervised in Production

A Tencent production system called SiriusDeliver is autonomously handling 18,240 data warehouse delivery sessions per month with an 87.2% success rate, cutting median delivery time from 228 minutes to 23 minutes. Unlike AI coding assistants that respond to prompts, autonomous agents can inspect repositories, write across multiple files, run tests, open pull requests, and self-correct from CI failures without human input. Researchers and developers are now coining new frameworks around this shift, including the Agentic SDLC, Spec-Driven Agentic Development, and the concept of a Verification Tax. A longitudinal study of over 43,000 VS Code GitHub issues confirms that developer discourse has moved from code completion quality to agent reliability, configuration, and management. Experts mark 2025 as the start of this third phase in AI-assisted development, following earlier eras of autocomplete and conversational AI tools.
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