Category: Prompt Engineering
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Build Your First AI Agent in 20 Minutes (No Coding Required)
Want to create an AI agent—something that can reason, act, and automate tasks—without writing a single line of code? This video tutorial walks you through exactly that. In just ~20 minutes, you’ll learn how to set up a working AI agent, connect tools, give it memory, and have it perform actions automatically.
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Spec-Driven Development with GitHub’s SpecKit: The Future of AI-Powered Coding
SpecKit represents a big step forward in how AI coding workflows are structured. By turning intent into executable specifications, it bridges the gap between what developers want and what AI delivers. As AI coding agents evolve, spec-driven development will likely become a mainstream paradigm for software teams.
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How AI Impacts Software Engineering Productivity: Insights from Research
AI is already a powerful assistant for software engineers—not a replacement. Used wisely, it can significantly enhance productivity while allowing human engineers to tackle more meaningful challenges. But it’s not a silver bullet. Complex systems, niche languages, and legacy codebases will still need skilled human judgment. In short: AI amplifies engineering—but doesn’t automate it away.
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Game-Changing Technology Trends Shaping 2026
By 2026, artificial intelligence and emerging tech are on track to automate up to 70% of everyday tasks, fundamentally transforming how we live, work, and interact with machines. The following 17 trends are not just futuristic predictions—they’re already unfolding before our eyes.
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Prompt Engineering, RAG, and Fine-Tuning Explained
Prompt Engineering, RAG, and Fine-Tuning each offer unique advantages and trade-offs. Whether you’re building content generators, chatbots, or specialized tools, choosing the right mix of these methods—and knowing when to pivot—will make your AI solutions smarter, more reliable, and more efficient.