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If you’ve looked at your Claude API usage and wondered why input tokens seem suspiciously low — you’re not imagining things. The label is misleading. Here’s what’s actually...
Deep agents in Java with LangChain4j A ready-made harness for planning, workspace files, sub-agents, and optional skills—so you ship a tool-using orchestrator instead of hand-wiring prompts and schemas. If you follow LangChain’s deepagents idea—planning,...
Building middleware in Java with LangChain4j Cross-cutting behavior around assistants—logging, retries, safety rails, and memory compaction—without rewriting your business logic. If you build agents with LangChain4j, you already wire a ChatModel, optional tools, and...
If you’re building an LLM-powered application (like a code review system), you’ve probably noticed this pattern: Yet every request reprocesses the entire prompt. That’s wasteful. Prompt caching fixes this. This guide explains: 🧠 What...
Modern agents keep a chat history of user messages, assistant replies, and tool calls. That history is bounded by a context window. When it gets long, frameworks can compress older turns so the model still has useful signal without...
If you’ve ever struggled with switching branches, stashing changes, or working on multiple features at once — Git worktrees can completely change your workflow. This guide explains what worktrees are, how they work, and...
Multi-agent architectures are becoming a core pattern in modern AI systems. Frameworks like Google’s Agent Development Kit (ADK) allow developers to create a team of agents where a root agent delegates tasks to specialized...
A URL shortener may handle millions of redirects per second.Each redirect is also a click event we want to count. But there’s a challenge: Redirects must be ultra fast, while stats storage is write-heavy....
When building large-scale systems (like URL shorteners, distributed caches, or databases), we often use consistent hashing to decide which server stores which data. But consistent hashing alone isn’t enough. To make it truly scalable...
When designing a large-scale URL shortener (like Bitly), the biggest challenge isn’t storing URLs — it’s serving billions of redirects with low latency. The solution? Multi-layer caching. This article explains how caching works across...