AI Agent Architecture: How Smart Agents Actually Work
A practical, guide to AI agent architecture, covering the agent loop, tools, memory, orchestration, safety, and production design.
AI Development
Showing 13 of 16 articles
Agentic Workflow Design: Patterns, Orchestration, State, and Reliable Execution
A production guide to designing reliable agentic workflows: when to use deterministic workflows vs autonomous agents, how to choose chaining, routing, parallel, orchestrator-worker, evaluator loops, and human approvals, plus state, retries, idempotency, observability, and evaluation.
How AI Agents Work in 2026: The Agent Loop, Tools, State, Memory, and Verification
A practical explanation of how AI agents actually work: the model-controlled execution loop, tools, context, structured state, memory, planning, retries, budgets, approvals, verification, tracing, and the difference between adaptive agents and deterministic workflows.
AI-Powered Coding Tools
Discover everything you need to know about AI-Powered Coding Tools in our latest comprehensive guide.
AI vs Human Developers
Discover everything you need to know about AI vs Human Developers in our latest comprehensive guide.
LLM + RAG + Tools + Memory: A Production Architecture for AI Agents
A practical production guide to combining LLMs, RAG, tools, memory, and context engineering correctly—what each layer should own, how the agent loop works, how to design retrieval and tool permissions, how memory should persist, and how to evaluate, secure, and operate the complete system.
AI Agent vs AI Assistant in 2026: Autonomy, Tools, Workflows, and When to Use Each
A practical guide to AI agents vs AI assistants: understand who controls the workflow, how tools and actions change the architecture, why autonomy is a spectrum, when deterministic workflows are better than agents, and how to choose the simplest system that reliably completes the user’s job.
Building AI Features in Mobile Apps: On-Device Models, Cloud APIs, Privacy, and Hybrid Architecture
Modern mobile apps can run AI locally, in the cloud, or route between both. This guide explains Apple Foundation Models, Android Gemini Nano, hybrid routing, structured outputs, privacy, local RAG, agent tools, battery and device constraints, secure cloud access, and mobile lifecycle reliability.
From Copilot to Coding Agents: How AI Coding Assistants Actually Work—and Where They Fail
Modern coding assistants have evolved from autocomplete into repo-aware agents that can search code, edit multiple files, run commands, test changes, work in cloud sandboxes, and open pull requests. This guide explains the architecture behind them, the failure modes that matter, and how to use coding agents safely and effectively.
Types of AI Agents
Discover everything you need to know about Types of AI Agents in our latest comprehensive guide.
AI Agent System Design
Discover everything you need to know about AI Agent System Design in our latest comprehensive guide.
Components of an AI Agent
Discover everything you need to know about Components of an AI Agent in our latest comprehensive guide.
AI Agent vs Chatbot
Discover everything you need to know about AI Agent vs Chatbot in our latest comprehensive guide.