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Tagged: software-architecture
Agent Harness, Loop and Graph: Three Layers Behind Reliable AI Agents
Why unreliable agents are usually missing a layer: the harness around the model, an evidence-driven loop and an explicit graph, with code patterns and a debugging checklist.
15 min readWhy the Modular Monorepo Suits Coding Agents: See Everything, Touch Little
Polyrepos blind agents and unstructured monorepos flood them. Open context, encapsulation and a real dependency graph make the modular monorepo work for agents.
7 min readWhy Production AI Agents Need More Than a Good Prompt
Production AI agents need more than a good prompt: context, tools, memory, failure handling, observability, testing and autonomy matched to the actual risk.
7 min readDesigning Portable Multi-Tenant Semantic Search on Kubernetes and Qdrant
How a semantic search platform uses Kubernetes for portability and tenant-aware routing to keep its vector database replaceable and its workloads isolated.
6 min readBeyond the API Wrapper: A Middleware Layer for Production LLM Integration
Direct LLM API calls break under real traffic. A middleware layer adds model abstraction, fallback routing, event-driven agents and cost-aware model choice.
6 min readChoosing an Agent Framework by Workload Shape: Six Axes and a Decision Path
Pick an agent framework by workload shape: LangGraph, CrewAI, AutoGen, Temporal or none, judged on determinism, lifetime, idempotency, audit and cost.
11 min readWebMCP, Service-Level MCP or Plain Browser Use: Where Agent Tools Belong
A critical look at WebMCP: page tools versus service-level MCP and ordinary browser agents, covering sessions, OAuth CIMD, discovery, local state and ownership.
9 min readConfiguration-Driven Agents: Build One Runtime, Specialize Fast
Why enterprises should build one base agent and vary it through externalized configuration: catalogs, skill registries, governance, testing, LangGraph and failure modes.
19 min readSpec-Driven Development With AI Coding Agents: A Practical Guide
Spec-driven development with AI coding agents: a four-phase workflow, AGENTS.md and SPEC.md files, multi-agent roles, maturity levels and how to catch drift.
16 min read
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