Java memory model: volatile, atomic, synchronized and final, measured
volatile makes each read and each write visible, but it does not make hits++ one step.
Java and Spring11 min read
Lukas Grigis
Lukas Grigis, Software Architect. AI engineering and AI-augmented delivery.
I build the tools, platforms, guidelines and courses that make AI work in real software delivery.
Use the arrow keys to move between articles; the center shows the one you are on. Enter opens it.
volatile makes each read and each write visible, but it does not make hits++ one step.
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- AI engineering9
- Identity and security5
- Java and Spring3
- Data and search1
- Web and writing1
19 articles, Feb 2026 to Sep 2026, coiled by date from the center out. Each segment is as long as the article takes to read.
Writing
Less code is more software.
My motto. How I work by it
What I'm building
Tools I build and publish, with the articles that document them. All projects
ralphctl
Agent harness for long-running AI coding tasks. Drives a cross-provider generator-evaluator loop across Claude Code, OpenAI Codex, GitHub Copilot, OpenCode, and Grok, with structured refinement, dependency-ordered planning, verification gates, and a full terminal dashboard.
- Source on GitHub: lukas-grigis/ralphctl (opens in a new tab)
- ralphctl on npm (opens in a new tab)
- The field guide, 5 articles
- Read The harness era caught up: ralphctl and the convergence I bet on
Built with and for: TypeScript, Claude Code, OpenAI Codex, GitHub Copilot, OpenCode, Grok, TUI
I'm helping with your sprints!· v0.27.0
Homeproject: Hello Python [P] · sprint: ready to implement [S] [PLANNED]Home — Where do we start today?ready to implement[PLANNED]Hello Python · 1 repo1 ticket0 pending1 approved ·1 tasks pendingRefine Plan Implement Close· next: Implement — 1 task pendingralphctl, terminal dashboard Install
npm install -g ralphctlNeeds Node.js 24 or newer.
Try it in a sandbox, no setup needed
ralphctl demo
Field guides
Each guide collects the articles on one topic, in reading order. All 5 guides
Java Foundations: the primitives, runnable
2 articles, 20 min
Building ralphctl: an agent harness, release by release
5 articles, 70 min
Spring Boot and Postgres: where the limits actually are
2 articles, 46 min
Spring Boot and OAuth2: a field guide for every surface
5 articles, 102 min
AI agent harnesses: a field guide
3 articles, 35 min
What I do
AI-augmented software engineering
Agentic workflows and Specification-Driven Development in client teams: the context, instructions, skills and guardrails that make coding agents reliable, and multi-agent workflows where small models implement and strong models gate.
ralphctl on GitHub (opens in a new tab)ralphctl on npm (opens in a new tab)
AI engineering
GenAI features end to end: RAG from naive to agentic, LLM evaluation, structured output, tool use, MCP servers and clients, local-first models.
AI governance and safe adoption
AI adoption an organization can audit and defend: guidelines, use-case approval, risk assessment, rules for AI tools inside client environments.
Teaching and enablement
Courses and workshops that make teams and leaders fluent in AI, with material that runs.
Engineering foundation
Identity and security (OAuth2/OIDC, Keycloak, RFC 8693 token exchange, broker security), distributed and event-driven systems, cloud-native platforms on AWS and Azure.
spring-oauth2-token-exchange-rfc8693 on GitHub (opens in a new tab)spring-oauth2-amqp-0.9.1 on GitHub (opens in a new tab)spring-oauth2-amqp-1.0 on GitHub (opens in a new tab)