AI code review: how to use effectively and safely
Understand what AI code review is, integrate it into review processes and CI pipelines, hide secrets before sending diffs, prevent prompt injection, and know when not to use it.
Local-first software: offline apps and sync with CRDT
Learn about local-first software, why CRDTs let apps work offline and merge data automatically, with Java 21 and Spring Boot 3 examples.
Observability for LLM Applications: Tracking Prompts, Costs, and Quality
How to measure latency, tokens, costs, and response quality of LLM applications using Micrometer, OpenTelemetry, and Spring Boot 3.
Postgres Does Everything: Queue, Search, Vector in One Database
Use PostgreSQL as a job queue, full-text search, and vector search with Spring Boot. Includes code examples, tests, and guidance on when to move to specialized systems.
Are Vector Databases Still Necessary With Longer Context Windows?
Longer context windows let you fit more documents in prompts, but they don't fully replace retrieval. This analysis shows when you need a vector database and when you don't.
Documentation beats memory: building repos for humans and AI
Coding agents forget context between sessions. This guide shows how to embed conventions in your repo using AGENTS.md, verification scripts, ArchUnit, and tests that both humans and AI agents can read.
Edge and serverless hybrid: running code close to users
Learn the hybrid model between edge and serverless: which parts should run close to users, which to keep at origin, with examples of Spring Boot, Spring Cloud Function, and edge functions.
IT Job Market 2026: Which Skills Should Developers Invest In
Analysis of skill groups attracting employers—controlled AI integration, concurrency, observability, testing with real infrastructure, and container operations.
Junior Dev in the AI Era: What to Learn to Stay Irreplaceable
As code generation gets easier, a junior dev's value lies in reading, verifying, and understanding systems. This article highlights essential skills with concrete Java examples.
MCP (Model Context Protocol) Is the New Standard for AI Tools
What is MCP, why it's getting attention, and how to write an MCP server with Spring Boot for your AI assistant to call business logic.
Meta-frameworks (Next.js, Nuxt) as the New Default
Why new frontend projects typically start with Next.js or Nuxt instead of plain React/Vue, how to integrate with a Spring Boot backend, and when you shouldn't use them.
OpenTelemetry: Common Standard for Traces, Logs, and Metrics
What OpenTelemetry is, why it's becoming the common standard for observability, how to apply it to Spring Boot 3 with Collector, testing, and when not to use it.
Optimizing LLM Call Costs: Prompt Caching, Small Models, and Batch
Three techniques to reduce LLM call costs: prompt caching, routing to smaller models, and batch processing. Includes Java/Spring Boot examples and when not to apply each.
Passkey Instead of Passwords: How It Works and Integration
Passkeys use public key pairs instead of passwords, preventing phishing by design. This article explains the mechanism and how to enable passkeys in Spring Security.
Platform engineering and internal developer platform: concepts and application
What is platform engineering, why many teams care about it, and how to build your first golden path using Spring Boot starter, service catalog, and guardrail.
React Compiler: Goodbye to Manual useMemo and useCallback?
React Compiler automatically memoizes components and hooks at build time. This article explains how it works, how to enable it in your project, how to write tests, and when to avoid it.
Running LLMs Locally: When to Self-Host Models
Self-hosting LLMs offers privacy, cost, and latency benefits, but comes with operational overhead. Learn when to self-host and how to integrate with Spring Boot.
Rust in infrastructure: why many tools are rewritten in Rust
Why many CLIs, linters, bundlers, and proxies are being rewritten in Rust, how to write your own Rust tool and integrate it into a Java system, and when you shouldn't use it.
Sandbox for AI agents: running agent code safely
Why code generated by AI agents must be isolated, common sandbox levels, and how to build your own Docker sandbox in a Spring Boot application.
Software Supply Chain Security: SBOM, Signing, and Blocking Malicious Packages
Learn about software supply chain security through three pillars: generating SBOM, signing and verifying artifacts, and blocking malicious packages in Java/Maven projects.