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Published: 2026-11-02 12:18:28 Views: 1591
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A deep breakdown of the core logic behind AI reshaping the R&D paradigm, helping you precisely grasp the new direction of transformation in the R&D industry. 1. The four-stage leap in AI coding autonomy, and the synchronized evolution across three dimensions: tools, processes, and people. 2. The logic of AI-driven R&D shifting from single-point optimization to full-chain productivity reconstruction—faster, higher quality, higher output. 3. How practitioners' roles will change under the new R&D paradigm, and the new human-machine collaborative R&D production relationship.
Yang Fangxian
Founder of 53AI / Most Valuable Expert of Tencent Cloud (TVP)
Write code faster
Overall compression from requirements to delivery
Independent review after development is complete
Quality embedded in the R&D process
How much code one person writes per day
How many closed-loop workflows can be advanced simultaneously
AI: connecting local optimizations into a complete production chain — what's measured is no longer "how much faster each step is," but how many effective workflows the R&D system can run simultaneously
Complete one step
Drive one thing to completion
Services as the execution unit
Agents become the new execution unit
The core is code implementation
Accountable for the final result
Mastered by excellent engineers
Harnesses, internal developer platforms
Why do it?
How to do it?
Who does it?
Human experts tackle the hard problems
53AI, the top service provider for enterprise LLM adoption
Products: scenario adoption consulting + LLM application platform + industry solutions
Commitment: free POC validation, cooperation only after results meet the standard. Zero-risk LLM adoption, delivered to 160+ mid-to-large enterprises
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