How the Pandemic Is Reshaping R&D Management and Tech Entrepreneurship

Since the turn of the millennium, technologies such as cloud computing, big data, AI, blockchain, and 5G have rebuilt the internet, creating a golden age for tech and spawning countless tech entrepreneurs. The COVID‑19 pandemic, however, introduced unprecedented challenges for technology startups and R&D teams, prompting a reassessment of management approaches.

R&D Management Challenges Highlighted by Han Lei

Han Lei, General Manager of Liangfengtai Information Technology, emphasized that the pandemic disrupted production, supply chains, and funding, leading to project cancellations and budget cuts. He argued that traditional personnel‑focused R&D management must evolve into resource‑focused management, where tools and automation replace manual coordination.

Key impacts on development cycles include:

Extension of R&D timelines to cover pre‑sale and post‑sale phases.

Shift of quality evaluation toward continuous delivery standards.

Convergence of product and service models, turning products into services and vice‑versa.

To address these issues, Han Lei proposed four practical measures:

Adopt a loosely‑coupled, fine‑grained modular architecture.

Embrace unit testing and continuous integration for agile development.

Design robust APIs that can be updated independently of third‑party services.

Resolve distributed communication problems through effective collaboration tools.

He stressed that DevOps principles are essential for improving efficiency, reliability, and resilience in uncertain times.

Tech Career Paths and Leadership Insights from Xiong Ping

Xiong Ping, founder of 51CTO, presented data showing that many mid‑career engineers feel anxious and that a large portion of CTOs are dissatisfied with their leaders. He outlined four primary career trajectories:

Technical line – architect, specialist, etc.

Management line – technical manager, VP, CTO.

Venture line – tech entrepreneur, investor.

Other – product, sales, etc.

He highlighted that a successful CTO must understand company strategy, translate it into technology strategy, and ensure product delivery while managing teams effectively.

Tech Entrepreneurship Perspectives

Han Qing, CEO of Kyligence, illustrated how an open‑source project (Apache Kylin) can evolve into a commercial venture, stressing that technology alone does not sell; a product must align technology, market, and business model.

PingCAP CTO Huang Dongxu recounted the company’s founding in 2015, describing the tension between open‑source and closed‑source models and the need to stay true to a mission amid market temptations.

Tao Jianhui, founder of TaoSi Data, shared his third‑time entrepreneurship journey, focusing on the open‑source time‑series database TDengine for IoT, and emphasized personal passion and the desire to remain technically relevant even after achieving financial freedom.

Conclusion

The consensus among the speakers is that while the era remains the best for technology, it is also the most demanding for tech entrepreneurship. Success now depends on integrating technology with clear business models, adopting resource‑centric R&D practices, and leveraging DevOps to navigate an unpredictable landscape.