Java and Spring Boot Production Checklist
A risk-based Spring Boot go-live review covering configuration, APIs, transactions, dependencies, observability, security, and recovery.
10 min read
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7 articles
A risk-based Spring Boot go-live review covering configuration, APIs, transactions, dependencies, observability, security, and recovery.
10 min read
ReadA workflow-level method for making backend state, failures, observability, recovery, and ownership understandable under production pressure.
10 min read
ReadA practical review checklist for validating AI-generated backend code: business logic, state transitions, data integrity, security, tests, and production impact.
18 min read
ReadA practical backend playbook for surviving LLM model deprecations with toggles, fallbacks, evals, SLOs, and review checklists.
17 min read
ReadA practical backend workflow for using ChatGPT with Google Docs, DDL, DBML, dbdiagram.io, ERDs, and database documentation.
16 min read
ReadA team-level operating model for using AI coding agents in backend engineering: scope boundaries, approvals, risky tasks, security review, CI checks, and rollout ownership.
14 min read
ReadA hands-on guide to robust error handling in Spring Boot APIs—covering best practices, code examples, and production-ready patterns.
12 min read
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