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The Year of the Agent
This story was originally published on HackerNoon at: https://hackernoon.com/the-year-of-the-agent.
2025 was the year AI-assisted coding grew up. What started as a wave of "vibe coding" — rapid prototyping, prompt-driven experiments, and disposable application
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #ai, #vibe-coding, #viable-code, #ai-native-development, #ai-native-dev, #ai-native-dev-tools, #vibe-code-viable-code, #claude-code, and more.
This story was written by: @ainativedev. Learn more about this writer by checking @ainativedev's about page,
and for more stories, please visit hackernoon.com.
2025 was the year AI-assisted coding grew up. What started as a wave of "vibe coding" — rapid prototyping, prompt-driven experiments, and disposable applications — matured into something more disciplined: spec-driven development, production-grade agents, and an ecosystem that's finally grappling with real-world constraints.
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By HackerNoon
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This story was originally published on HackerNoon at: https://hackernoon.com/the-year-of-the-agent.
2025 was the year AI-assisted coding grew up. What started as a wave of "vibe coding" — rapid prototyping, prompt-driven experiments, and disposable application
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #ai, #vibe-coding, #viable-code, #ai-native-development, #ai-native-dev, #ai-native-dev-tools, #vibe-code-viable-code, #claude-code, and more.
This story was written by: @ainativedev. Learn more about this writer by checking @ainativedev's about page,
and for more stories, please visit hackernoon.com.
2025 was the year AI-assisted coding grew up. What started as a wave of "vibe coding" — rapid prototyping, prompt-driven experiments, and disposable applications — matured into something more disciplined: spec-driven development, production-grade agents, and an ecosystem that's finally grappling with real-world constraints.