KENGDEV / FIELD NOTES

Guides.

AI agents, software development and automation: methods, technical decisions and practical experience.

AI agent for SMEs: setup budget, run cost and traps

What an AI agent costs for an SME: setup and run ranges, the real cost of HITL, and what to scope before signing a quote.

LLMOps: how to run LLMs in production with evals, versioned prompts, observability, token budgets and guardrails an SME can keep.

Production RAG LLM: an SME method to ground a model on your data, from corpus to citations, with eval and cost under control.

EXPLORE THE JOURNAL

Claude Code in depth: manage context with compact and clear, avoid the dump zone, and govern skills, MCP and permissions as a team.

Vibe coding: prototype fast without reviewing code, useful in spikes but risky in production. When to switch to specs and RPI once a customer enters.

AI-native team: conventions before tools, delivery KPIs instead of commit counts, and a 90-day roadmap to make the shift without chaos.

Model Context Protocol: the Anthropic open standard to wire an agent to your tools, covering allowlists, security and schema token cost.

Human in the loop (HITL): how to design production supervision for an agent, from thresholds to validation queues, without review fatigue.

How to create an AI agent that earns its keep in an SME: process first, then the LLM, tools and control trio, a first flow that pays, measured HITL.