Introduction: Choosing the right LLM for your task is one of the most impactful decisions you’ll make. Use a model that’s too small and you’ll get poor quality. Use one that’s too large and you’ll burn through budget while waiting for slow responses. The landscape changes constantly—new models launch monthly, pricing shifts, and capabilities evolve. […]
Read more →Month: July 2025
Error Handling in LLM Applications: Retry, Fallback, and Circuit Breakers
Introduction: LLM APIs fail in ways traditional APIs don’t—rate limits, content filters, malformed outputs, timeouts on long generations, and model-specific quirks. Building resilient LLM applications requires comprehensive error handling: retry logic with exponential backoff, fallback strategies when primary models fail, circuit breakers to prevent cascade failures, and graceful degradation for user-facing applications. This guide covers […]
Read more →The Vibe Coding Revolution: How AI Assistants Are Redefining Developer Productivity in 2025
The term “vibe coding” emerged organically from developer communities in late 2024, describing a new paradigm where programmers collaborate with AI assistants not just for code completion, but for entire feature implementations. Workflow Revolution: Traditional vs Vibe Coding Understanding the Vibe Coding Paradigm Vibe coding represents a fundamental shift in how developers interact with their […]
Read more →Structured Generation Techniques: Getting Reliable JSON from LLMs
Introduction: Getting LLMs to output valid JSON, XML, or other structured formats is surprisingly difficult. Models hallucinate extra fields, forget closing brackets, and produce malformed output that breaks downstream systems. Prompt engineering helps but doesn’t guarantee valid output. This guide covers techniques for reliable structured generation: using native JSON mode and structured outputs, constrained decoding […]
Read more →DevSecOps: Integrating Security into DevOps – Part 5
Continuing from my previous blog, let’s explore some more advanced topics related to DevSecOps implementation. Identity and Access Management Identity and Access Management (IAM) is a critical aspect of DevSecOps. It involves managing user identities and controlling their access to resources based on their roles and responsibilities. IAM includes the following activities: Infrastructure as Code […]
Read more →Mastering Google Cloud Dataflow: Building Unified Batch and Streaming Pipelines at Scale
Introduction: Google Cloud Dataflow provides a fully managed, serverless data processing service built on Apache Beam that unifies batch and streaming pipelines. This comprehensive guide explores Dataflow’s enterprise capabilities, from pipeline design patterns and windowing strategies to autoscaling, cost optimization, and production monitoring. After building data pipelines processing terabytes daily across multiple cloud providers, I’ve […]
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