  The convergence of generative AI and web search is reshaping problem-solving
for programmers. However, the lack of understanding regarding their interplay
in the information-seeking process often leads programmers to perceive them as
alternatives rather than complementary tools. To analyze this interaction and
explore their synergy, we conducted an interview study with eight experienced
programmers. Drawing from the results and literature, we have identified three
major challenges and proposed three decision-making stages, each with its own
relevant factors. Additionally, we present a comprehensive process model that
captures programmers' interaction patterns. This model encompasses
decision-making stages, the information-foraging loop, and cognitive activities
during system interaction, offering a holistic framework to comprehend and
optimize the use of these convergent tools in programming.
