Editorial
Building Multi-Turn Conversations & State Management
Learn how conversational memory works in Large Language Models. Master message roles, state accumulation, session helpers, and persistent system instructions using the Gemini API.
Editorial
Your First Gemini API Call: Core Fundamentals
Master the foundational request-response pattern of Large Language Models using the modern Google GenAI Python SDK. Learn authentication, model selection, prompt dispatching, and response handling.
Editorial
Securing and Routing AI Workloads: Introducing VaultEdge — The Smart Proxy & Zero-Trust Key Manager
VaultEdge is more than just a credential vault. Learn how it acts as an intelligent, OpenAI-compatible proxy to route requests, manage fallbacks across 15+ models, and provide a unified single-key facade for all your AI keys.
Editorial
Domain-Specific Deep Agents: Model Routing, Tool Registries & The Full DevPulse System
One harness does not fit every programming language, domain, or review type. Learn how to build dynamic tool registries that serve language-specific tools, a model router that assigns the right LLM to the right task complexity, and domain-tuned system prompts — then wire everything together into the complete DevPulse production system.
Editorial
Going to Production: Reliability, Observability & Resumability
Moving DevPulse from a working prototype to a production system. Learn how to implement persistent SQLite checkpointing so agents survive crashes, add LangSmith distributed tracing to debug multi-agent pipelines, inject human-in-the-loop approval gates for high-risk actions, and build cost safeguards that prevent runaway API spend.
Editorial
Context Engineering: Write, Select, Compress, Isolate
Prompt engineering gets your agent working. Context engineering gets it to production. Learn the four strategies — Write, Select, Compress, and Isolate — that prevent context rot, reduce token costs by 80%, and maintain reasoning accuracy as task complexity scales. Applied throughout the DevPulse system.