As programmers, we’re often tempted to leverage design patterns, language idioms, advanced language features, and well-known libraries, which is certainly advisable. However, it’s essential to put on the KISS/YAGNI glasses before diving into these techniques 🙂
Perhaps within two years or even sooner, developers could find themselves having a conversation like this:
“Which C++ agent are you utilizing?”
“I’m using the X agent.”
“And does it contribute to cleaner code with fewer bugs?”
“Yes, it’s fantastic! My C++ code has been modernized.”
“What about the application design?”
“My agent has been trained to implement design patterns. Additionally, I’ve provided it with training data to incorporate the best C++ idioms.”
So why are we quickly approaching a future where humans collaborate with agents to accomplish our tasks? Because major players in AI are pushing for the rapid release of AI agents.
AI agents, also known as intelligent agents, are software entities that perceive their environment and take actions to achieve specific goals. These agents are a fundamental concept in artificial intelligence and are widely used in various applications, ranging from simple automation tasks to complex decision-making systems. Here are some key points about AI agents:
The majority of developers have already heard about the design patterns, GOF(Gang Of Four) patterns are the most popularized, and each developer has his way to learn them , we can enumerate: