The next evolution in software development
Classes & Methods
class MyClass { }
Agents & Tools
agent MyAgent { }
Just as OOP transformed software in the 1980s, AOP will revolutionize how we build intelligent systems. Native language support for AI agents, tools, and orchestration.
By Gurvinder Dhillon
class ResearchAgent:
def __init__(self, model):
self.model = model
self.api_key = "sk-..."
# Regular method - no AI awareness
def search(self, query):
# Manual API calls
return openai.chat.completions.create(
model=self.model,
messages=[{"role": "user",
"content": query}]
)
def analyze(self, data):
# More manual orchestration
return self.model.generate(data)agent ResearchAgent():
def __init__(self, model="gpt-4",
provider="OpenAI",
temperature=0.7):
super().__init__(model, provider, temperature)
# Native AI tool - language understands AI
tool search(self, query: str) -> SearchResults:
# Automatic model integration
return web_search_api(query)
tool analyze(self, data: str) -> Analysis:
# Built-in AI orchestration
return llm_analyze(data)From manual AI integration to native language constructs
Native agent constructs eliminate boilerplate code and reduce integration complexity. Build intelligent systems as naturally as you build objects.
Agents work across frameworks and languages. No more vendor lock-in or fragmented ecosystems. True standardization for AI development.
Tools inherit and compose like methods, but with AI-specific capabilities. Build complex agent workflows through simple inheritance patterns.
Compile-time verification of agent contracts and tool signatures. Catch AI integration errors before runtime.
New HTML elements like <agent> and <tool> bring AI directly to the web platform. REST APIs designed for agent operations.
Parallel tool execution, circuit breakers, and retry policies built into the language runtime. Production-ready by default.
The fragmentation crisis is real. Hundreds of frameworks, incompatible protocols, and N×M integration problems. AOP provides the unifying paradigm the industry desperately needs.
agent DataProcessor():
tool validate(self, data: List[Dict]):
return ValidationResult(data)
tool process(self, data: List[Dict]):
validated = self.validate(data)
return ProcessResult(validated)agent APIAgent(BaseAgent) {
tool async fetchData(url: string) {
return fetch(url).then(r => r.json());
}
tool async processResponse(response) {
return { processed: response.data };
}
}Consistent syntax across all major programming languages
The paradigm shift is happening now. Be part of the movement that will define the next era of software development.
Ready to transform how the world builds intelligent systems?