This story was originally published on HackerNoon at: https://hackernoon.com/taste-is-the-new-moat.
AI can generate infinite content, but it can’t decide what should exist. Taste, built through exposure, discernment, and intent, is the real edge in the AI age.
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This story was written by: @jackmars. Learn more about this writer by checking @jackmars's about page, and for more stories, please visit hackernoon.com.

In an age where AI can generate infinite content, “taste” becomes the real differentiator. But taste is not always an innate gift reserved for the privileged few; it is also a skill that is developed through obsessive exposure, pattern recognition, and deliberate consumption. Slop is not defined less by its provenance (human vs. AI-generated) and more by its structure: generic, formulaic, and undifferentiated is in the “slop” category. As machines automate creation, the people who can discern what should exist and inject individuality into what they create will win.

This story was originally published on HackerNoon at: https://hackernoon.com/would-i-use-llms-to-rebuild-twitters-dynamic-product-ads-yes-and-no.
How LLMs improve product recommendations at scale - and where classic ML still wins. Lessons from building Twitter's ad system on what actually matters.
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This story was written by: @manoja. Learn more about this writer by checking @manoja's about page, and for more stories, please visit hackernoon.com.

Twitter’s Dynamic Product Ads system was built to match users to products they are most likely to buy. The system used product and user embeddings with classic ML models to serve personalized ads at Twitter’S scale. The approach was very textbook (for 2022 at least). Would this approach have been different in 2026 with AI and LLMs?

This story was originally published on HackerNoon at: https://hackernoon.com/your-first-ai-data-flywheel-in-under-100-lines-of-python.
Today, we're going to get our hands dirty and construct a simple, working web application that demonstrates the core loop of a data flywheel.
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This story was written by: @knightbat2040. Learn more about this writer by checking @knightbat2040's about page, and for more stories, please visit hackernoon.com.

In this article, we show you how to turn a flawed AI into a training file. We'll use the Foundry framework to build a simple web application. The code is self-contained and requires no external services like Docker or Redis.

This story was originally published on HackerNoon at: https://hackernoon.com/coderabbit-vs-code-reviews-in-kilo-which-one-is-best-for-you-in-2026.
CodeRabbit alternative for 2026: Kilo's Code Reviews combines AI code review with coding agents, deploy tools, and 500+ models in one unified platform.
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This story was written by: @kilocode. Learn more about this writer by checking @kilocode's about page, and for more stories, please visit hackernoon.com.

AI code review tools promise faster, more consistent feedback on every PR. But not all of them integrate the same way into your workflow, and the differences add more friction.

This story was originally published on HackerNoon at: https://hackernoon.com/ai-coding-tip-002-speak-the-models-native-tongue.
When you prompt in English, you align with how AI learned code and spend fewer tokens.
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This story was written by: @mcsee. Learn more about this writer by checking @mcsee's about page, and for more stories, please visit hackernoon.com.

When you prompt in English, you align with how AI learned code and spend fewer tokens.

This story was originally published on HackerNoon at: https://hackernoon.com/playbook-for-production-ml-latency-testing-regression-validation-and-automated-deployment.
Even the most automated systems still need an underlying philosophy.
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This story was written by: @stevebeyatte. Learn more about this writer by checking @stevebeyatte's about page, and for more stories, please visit hackernoon.com.

Even the most automated systems still need an underlying philosophy.

This story was originally published on HackerNoon at: https://hackernoon.com/vibe-coding-how-ai-is-shaping-a-new-paradigm-in-software-development.
What Is Vibe Coding? AI-First Software Development Explained
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This story was written by: @khushboo. Learn more about this writer by checking @khushboo's about page, and for more stories, please visit hackernoon.com.

Vibe coding is a development style in which AI models generate production-ready code based purely on natural-language instructions. It has major implications for SaaS platforms, software engineering teams, developer tools, and tech workflows.

This story was originally published on HackerNoon at: https://hackernoon.com/will-ai-agents-pump-up-our-profits.
The rise of Agentic AI has fueled predictions of improved company performance and stronger stock returns.
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This story was written by: @farida. Learn more about this writer by checking @farida's about page, and for more stories, please visit hackernoon.com.

What is Agentic AI? And will its implementation lead to price appreciation and delivery some juicy profits for us? Technological advancement never fails us, but there are key takeaways to consider.