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Software development faces critical challenges that impact companies of all sizes. Roughly one in five software projects ends in complete failure, while nearly half exceed their budgets.
Even more concerning, 17% of IT projects risk collapsing the company itself.
The traditional software development cycle is plagued by inefficiencies – from requirements gathering to coding, testing, and deployment – consuming valuable time and resources.
Technical debt accumulates as companies rush to market, while developer teams struggle with fragmented toolchains and increasing complexity.
This perfect storm of challenges demands a revolutionary solution, and artificial intelligence has emerged as the answer.
