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From Prompt Engineering to Agentic AI Systems

This engineering-focused blog post explains Agentic AI—autonomous systems that understand objectives, plan, select tools, execute tasks, observe results, and iterate until goals are met. It defines the four essential building blocks for production agents (Brain/LLM, Tools, Memory, Goal), describes the ReAct Think→Act→Observe loop, and emphasizes planning, memory, observability, and error handling for reliability. The author gives a short code example using LangChain and ChatOpenAI, discusses multi-agent architectures and specialized agent roles, compares orchestration frameworks, and lists an engineering stack of frameworks, vector stores, and infrastructure components used to build autonomous AI systems.

Developer Releases Three MCP Servers for AI Agents

A developer published three production-ready MCP (Model Context Protocol) servers that let AI agents use external tools through a unified interface. The three servers are a web-search MCP (Google/SerpAPI search + content extraction), a code-review automation MCP (diff analysis, static quality checks, PR analysis), and a document-intelligence server (OCR, classification, summarization). The packages are distributed via PyPI, GitHub, HuggingFace and a Gumroad licensing/billing flow with free and paid credit tiers. The stack uses Python with FastMCP; billing is implemented with FastAPI and PostgreSQL. Source code and a billing backend repo are available on the author's GitHub.

Dynamic Shopify Pricing Is an Architecture (Blast‑Radius) Problem

The author argues dynamic pricing failures on Shopify are primarily architectural risks, not modeling errors. They propose a four‑layer design: (1) an engine that only proposes prices within type-enforced guardrails, (2) a merchant policy gate that decides auto-apply/hold/reject, (3) a Shopify client that executes only approved writes to the Admin API, and (4) an append-only audit trail for complete, sha256‑chained recording and rollback. Two invariants are emphasized: fail-closed actuation on stale/missing data and mandatory holdout control groups for attribution. The author provides two artifacts: a Shopify Dynamic Pricing Skeleton (FastAPI, Celery, Postgres, Redis) sold with full source for $29, and Slipstream, a pilot/operator kit with simulator and holdout attribution for $99. Publication date: 2026-06-27.