# Ai Architecture And System Design
All Ai Architecture And System Design notes →1. AI Copilot Architecture
Walks through the reference system design for an in-product AI copilot - context assembly from the host application, streaming responses, and the guardrails that keep suggestions scoped to what the user is actually doing.
2. Coding Agent Platforms
Covers the system design of a coding agent platform (codebase indexing, sandboxed execution, diff review workflow) at the depth expected in an L6/L7 system design interview.
3. Research Agents
Covers the architecture of a research agent that plans multi-step web/document retrieval, cites sources, and self-critiques for completeness before returning a synthesized answer.
4. Customer Support Agents
Covers the system design of a customer-support agent - ticket triage, knowledge-base grounding, escalation to a human, and the metrics (deflection rate, CSAT) that define success.
5. Enterprise Knowledge Assistants
Covers designing an enterprise-wide knowledge assistant over heterogeneous internal sources (wikis, tickets, code, Slack), including access-control-aware retrieval so answers respect document permissions.
6. Autonomous Operations Agents
Covers agents that take autonomous remediation actions in production systems, including the safety envelope (dry-run mode, blast-radius limits, automatic rollback) required before granting write access.
7. AI SRE Platforms
Covers the system design of an AI SRE platform end to end - alert ingestion, correlation, root-cause hypothesis generation, and runbook execution - as the natural extension of the observability-investigation agent built earlier in this book.
8. AI Platform Architecture
Covers the enterprise-wide reference architecture tying together the gateway, registry, and multi-model infrastructure from Part 04 of Production Agent Systems into a single platform diagram suitable for an architecture review.
9. Global AI Infrastructure
Covers multi-region deployment of AI infrastructure - data residency constraints, cross-region model failover, and latency budgets for a globally distributed agent platform.
10. Cursor: Architecture Case Study
An external, engineering-blog-grounded analysis of Cursor's likely architecture — Merkle-tree-synced codebase indexing, the Tab fast path for inline edit prediction, and the agent-mode tool-calling loop for multi-file changes — read as public inference, not disclosed internals.
11. Claude Code: Architecture Case Study
A documentation-grounded analysis of Claude Code's architecture — the gather/act/verify agentic loop against a real filesystem and shell, the allow/deny/ask tool-permission model, and subagent delegation with isolated context — distinguishing Anthropic's own documented mechanics from reasonable architectural inference.
12. GitHub Copilot: Architecture Case Study
An external, engineering-blog-grounded analysis of GitHub Copilot's evolution from a low-latency inline completion service into an asynchronous, multi-model coding agent platform — and why the safety envelope changes shape along with it.
13. Perplexity: Architecture Case Study
An external, engineering-blog-grounded analysis of Perplexity's real-time research-agent architecture -- live web retrieval instead of a static corpus, citation grounding as a hard output constraint, and answer synthesis under a tight latency budget.