The expectation gapWhen a team says "we're building agents," two very different pictures are usually in the room.The engineering picture is a workflow with LLM calls in it.There is a DAG.Node 3 extracts entities,node 4 classifies them,node 5 writes a summa...
Cadence is a distributed,fault-tolerant,stateful workflow orchestration framework and programming model designed to build highly reliable and long-running applications.It allows developers to write complex business logic as simple sequential code,abstracti...
What is the Temporal Programming Model?The Temporal Programming Model refers to a paradigm for building robust,long-running,and fault-tolerant applications as workflows.It allows developers to write complex business logic as ordinary code,abstracting away ...
Every ad platform I have seen starts life as the same diagram.Someone opens a whiteboard and writes seven boxes in a row:Client → Preprocessing → Data Ingestion → Orchestration → Worker → Governance & Validation → Persistence.It is a good diagram.The...
A Skill Registry in AI is a centralized catalog that stores,manages,and defines modular tools,functions,or prompt capabilities that an AI agent can dynamically access.Instead of forcing developers to preload the descriptions,schemas,and instructions for ev...
Developing an Intelligent Priority-Based Scheduler requires defining functional requirements such as automated task ingestion,dynamic AI-driven priority calculation based on deadlines and resource availability,preemptive execution management,and real-time ...
Real-time model registry versioning and dynamic model adaptation driven by autonomous agents become essential in highly dynamic,mission-critical environments where data distributions shift rapidly and manual human intervention creates costly operational de...
Bridging the gap between Machine Learning (ML) theory and infrastructure often comes down to shift in perspective: ML is the intelligence (the brain),and Infrastructure is the system that keeps it alive,fed,and useful to the world (the body and environment...
The architectural design for a modern Machine Learning and AI application adopts a cloud-native,event-driven microservices pattern structured across six core layers to satisfy functional requirements such as automated data transformation,model versioning,a...
The LLM-Powered Multi-Agent Orchestration System is designed as a decoupled,event-driven architecture that transforms complex unstructured tasks into structured outcomes through autonomous agent collaboration.The execution pipeline begins with asynchronous...
Microsoft AutoGen is an open-source framework developed by Microsoft that simplifies the orchestration,optimization,and automation of complex large language model workflows by enabling multiple cooperative agents to converse with one another to solve tasks...
Here is an in-depth investigation into Semantic Kernel (SK),its key features,proposed integration architectures,and a detailed comparison with Microsoft AutoGen. 1.What is Semantic Kernel?Semantic Kernel (SK) is an open-source,lightweight SDK developed by ...
The paradigm shift in building applications with Large Language Models (LLMs) has moved from simple,single-prompt interactions to complex,multi-agent systems that require memory,decision-making loops,and collaboration.To address this,the creators of LangCh...
Microsoft AutoGen is an open-source framework designed to simplify the development of advanced Large Language Model (LLM) applications.Its core paradigm relies on multi-agent conversation,where multiple specialized agents communicate,collaborate,and orches...
Why is the system design process important?The system design process is crucially important because it serves as the foundational blueprint for building robust,scalable,and efficient software applications.By initiating development with a thorough requireme...
The core mission is to develop kernel-level implementations for a variety of Deep Neural Network (DNN) models,specifically targeting Arm architectures.The primary goals are to optimize these implementations for maximum power efficiency and performance,cruc...
The realm of software development is undergoing an unprecedented transformation,largely driven by the advent of artificial intelligence.AI-powered coding assistants like Claude Code,when integrated with innovative architectural patterns such as Moai,are em...
Below is from Aurimas Griciūnas showing hierarchical layers for AI Agents.Sometimes 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 might seem simple from the outside.They are not 👇There are many moving pieces that production ready Agentic Systems rely on. I like to split the 𝗛𝗶𝗲𝗿...
The Observer pattern is a behavioral design pattern where a subject maintains a list of its dependents (observers) and notifies them automatically of any state changes,usually by calling a method on each observer.This allows for loose coupling between the ...
1.The Problem: Hotspots Created by Viral PostsA service that ran perfectly fine on most days would slow to a crawl — and sometimes the database would freeze entirely — the moment traffic converged on a single influencer’s post or an event-driven piece o...
Wide & Deep and DeepFM are ranking models built to do two things at once: memorize frequent,specific feature combinations and generalize to combinations never (or rarely) seen in training.They are the canonical “deep ranking” architectures that score a s...
What is a Stateful Database?A stateful database is a type of database system that retains information about past interactions or states and uses this information to process subsequent requests.In essence,it remembers the "state" of the data over time.This ...
To prevent order data loss during Kafka failures from an infrastructure design perspective,a multi-layered resilience strategy must be implemented.First,Kafka brokers should be deployed across multiple availability zones with a replication factor of three ...
This architecture is designed to handle ultra-high concurrency (100,000+ Transactions Per Second) during peak events (e.g.flash sales,limited-edition drops) while ensuring zero data loss,strict transactional integrity,and sub-second response times. 1.High-...
1.Conceptual Framework: Code-to-Container ScalingTo represent container scaling architecturally,you must treat the Docker container as an immutable,self-contained unit of execution.The application code,runtime environment,libraries,and configurations are p...
Before drawing,you must establish the distinction between the two.When presenting to stakeholders or interviewers,define them as::Database Partitioning (Horizontal / Vertical): Splitting a large table into smaller,more manageable pieces within a single dat...