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From Problem to Product: How AI and Web3 Are Powering Custom Software Solutions
- In the article 'From Problem to Product: How AI and Web3 Are Powering Custom Software Solutions,' the author emphasizes the importance of solving the right problem before implementing technology.
- The article explores how modern businesses are using AI and Web3 to develop custom software solutions that address real business needs and create tangible impacts.
- Successful custom software development requires a deep understanding of the problem through thorough discovery and listening to stakeholders.
- AI is most effective when applied to focused business problems rather than being used for superficial purposes, ensuring clear business benefits.
- Web3 technologies like blockchain reshape trust, ownership, and transparency in business operations, offering new economic models and data management solutions.
- Integration of AI and Web3 demands strategic discipline, starting with small proofs of concept and selecting the right technology tools for scalability and security.
- Avoidable traps in modern software development include trend-chasing, overengineering, skill gaps, lagging change management, and neglecting maintenance reality.
- The key to success with AI and Web3 lies in grounding custom solutions in real business needs, ensuring that every feature and innovation aligns with clear business goals.
- Kostyantyn Bondar, the author and CEO of DarinX, emphasizes the importance of understanding customers, teams, and markets to create valuable, relevant, and resilient custom software solutions.
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