ByteDance Delays Doubao 2.2 to Focus on Coding Agents
ByteDance has pushed back Doubao 2.2, which was supposed to launch in August, and plans to spend extra time on training, with coding, tool calling, and agent capabilities as priorities. According to BlockBeats, one of Seed's targets this year is to build a first-tier coding model. Internally, ByteDance hopes to reach a level similar to GLM-5.2 and Kimi-K3 by year-end, so developers begin to trust its coding model. The delay follows an August reorganization at Seed. Teams previously divided by text, speech, code, and vision have been recast as Pretrain Data, Horizon RL, Product Posttrain-Work, and Product Posttrain-Chat. Horizon RL will handle coding post-training; Work will concentrate on tool calling, GUI operations, and long task execution. ByteDance is also recruiting aggressively. Open positions include Code Agent, general Agent, and reinforcement learning algorithm engineer. A Multi-Agent Harness posting explicitly mentions studying Claude Code, Codex, and other coding agents, and building multi-agent plus reinforcement learning environments designed to run for long stretches. Seed 2.1 already highlighted coding when it came out in June, but ByteDance appears to think that was insufficient. Doubao 2.2 is being delayed intentionally, so coding can be upgraded to a more credible level before release.