Practical deep-dives for system design, Java, Spring Boot, DevOps, and AI engineering.
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Architecture drills, trade-offs, scaling patterns, and interview-ready answers.
Explore PathCore Java concepts, coding patterns, and practical question walkthroughs.
Explore PathProduction-focused Spring guides covering APIs, validation, and configuration.
Explore PathEvery post belongs to a structured series so you can learn in order.
Applied AI foundations including MCP, RAG, and practical ML engineering patterns.
Coding interview prep with Java fundamentals, regex, and algorithmic problem sets.
Step-by-step posts grouped as one coherent learning track.
Step-by-step posts grouped as one coherent learning track.
Step-by-step posts grouped as one coherent learning track.
Step-by-step posts grouped as one coherent learning track.
Object-oriented pattern implementations and practical decision guidance in Java.
Interview-first architecture breakdowns with clear capacity and trade-off reasoning.
Step-by-step posts grouped as one coherent learning track.
Hands-on command guides and workflow tooling for faster day-to-day engineering.
Step-by-step posts grouped as one coherent learning track.
Spring Boot API, validation, and configuration deep dives for production use.
Sharding and data-growth strategies for high-throughput backend systems.
Step-by-step posts grouped as one coherent learning track.
Step-by-step posts grouped as one coherent learning track.
Interview and process guidance for stronger software engineering execution.
Step-by-step posts grouped as one coherent learning track.
Step-by-step posts grouped as one coherent learning track.
Learn what Hermes Agent is, how it works, and what makes it different from other AI agents. Self-hosted, persistent memory, and auto-learning capabilities.
By Pratik Bhuite | 50 min read
Series: AI Development Tools
Read SpotlightSeries: AI Development Best Practices
Compare the best AI coding CLI tools in 2026. Detailed analysis of Claude CLI, GitHub Copilot CLI, Aider, Cursor, and more with pricing and use cases.
Series: AI Development Best Practices
Learn how to reduce AI and LLM costs by up to 80% while maximizing value from subscriptions. Practical tips for developers using ChatGPT, Claude, and Copilot.
Use quick topic filters to jump straight into what you need.
Series: Practical Backend Engineering
Learn what configuration management is, why it matters, and how teams use it to keep settings consistent across environments without hardcoding.
Series: Practical Backend Engineering
Learn what application performance monitoring (APM) is, which metrics matter, how alerts work, and how monitoring complements logs in production.
Series: AI Engineering & Machine Learning Series
Learn how to use Reasonix with DeepSeek, why its cache-first design matters, and where this DeepSeek-native coding agent changes developer workflows.
Series: Backend Basics
Learn what environment variables are, how they work, and why every developer needs to understand them. Includes best practices and real examples.
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