Introduction: Multi-turn conversations are where LLM applications become truly useful. Users don’t just ask single questions—they refine, follow up, reference previous context, and expect the assistant to remember what was discussed. Building effective multi-turn systems requires careful attention to context management, history compression, turn-taking logic, and graceful handling of topic changes. This guide covers practical […]
Read more →Month: July 2025
LLM Prompt Templates: Building Maintainable Prompt Systems
Introduction: Hardcoded prompts are a maintenance nightmare. When prompts are scattered across your codebase as string literals, updating them requires code changes, testing, and deployment. Prompt templates solve this by separating prompt logic from application code. This guide covers building a robust prompt template system: variable substitution, conditional sections, template inheritance, version control, and A/B […]
Read more →Design Thinking in the Age of AI: Why Human-Centered Product Development Matters More Than Ever
The resurgence of design thinking in enterprise software development might seem paradoxical in an era dominated by AI-generated solutions. Yet after witnessing countless projects, the truth is clear: AI makes technical implementation easier while understanding user needs becomes harder. The 5-Phase Design Thinking Framework Why Design Thinking Matters More in the AI Era The proliferation […]
Read more →DevSecOps: Integrating Security into DevOps – Part 4
In this continuation blog, we will explore some more advanced topics related to DevSecOps implementation. Threat Modeling Threat modeling is the process of identifying potential threats to an application or system and evaluating their impact. It helps identify potential security vulnerabilities and prioritize security activities. The following steps are involved in the threat modeling process: […]
Read more →LLM Application Monitoring: Metrics, Tracing, and Alerting for Production AI Systems
Introduction: LLM applications fail in ways traditional software doesn’t. A model might return syntactically correct but factually wrong responses. Latency can spike unpredictably. Costs can explode without warning. Token usage varies wildly based on input. Traditional APM tools miss these LLM-specific failure modes. This guide covers comprehensive monitoring for LLM applications: tracking latency, tokens, and […]
Read more →Enterprise PostgreSQL on Google Cloud: AlloyDB Architecture for Mission-Critical Workloads
Google Cloud AlloyDB provides a fully managed, PostgreSQL-compatible database service designed for demanding enterprise workloads. This comprehensive guide explores AlloyDB’s enterprise capabilities with production-ready examples. AlloyDB Disaggregated Architecture AlloyDB Architecture: Cloud-Native PostgreSQL AlloyDB separates compute and storage into independent layers, enabling each to scale independently. The compute layer runs PostgreSQL-compatible database instances, while the storage […]
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