Group 1 - Tencent revealed that 85% of its programmers are using the CodeBuddy AI code assistant, which has reduced overall coding time by 40% [1] - The AI code assistant has evolved with the introduction of the Craft software development agent, moving from code completion to autonomous development [1] - Other companies like OpenAI and Google are also launching AI coding agents, such as Codex and AlphaEvolve, which enhance software development capabilities [1] Group 2 - Tencent is considering changes to its workflow due to the increased use of AI-generated code, aiming for organizational efficiency alongside individual productivity [2] - The AI code tools are being integrated with intelligent agent capabilities, which can proactively execute tasks and solve problems, enhancing their functionality [2] - Tencent upgraded its large model knowledge engine to an intelligent agent development platform based on RAG technology, enabling automatic question-answer generation for enterprises [2] Group 3 - The AutoGLM intelligent agent, released in March, can reason and search simultaneously, gaining 5,000 followers on Xiaohongshu in 14 days [3] - JD.com launched JoyAgent 2.0, which helps enterprises generate digital employees, with a code acceptance rate of over 40% for its JoyCode assistant [3] - Intelligent agent technology is still developing, with expectations of achieving 90% accuracy in complex tool calls by the end of the year [3] Group 4 - Tencent has accelerated the release of its large model products, including a 3D scene model and various parameter versions of hybrid reasoning models [4] - The planned open-source hybrid reasoning model will have parameters ranging from 7B to 14B for AI workstations, and 13B and 32B for AI servers [4] - The demand for reasoning tokens has exceeded previous expectations, prompting Tencent to optimize reasoning efficiency and customize models to save GPU resources [4]
85%腾讯程序员使用CodeBuddy,腾讯重新思考工作流程