TechKnow Blog
Insights, Updates, and Best Practices
Stay informed about the latest trends in AI, cloud computing, and database management.
The Agentic Pipeline – Generating Secure PySpark via LLMs
Take the leap from chat to execution. We are going to force our model to dynamically write a production-ready Spark Declarative Pipeline (SDP) that not only transforms data but actively secures it.
The Semantic Shift – Building an Agentic Data Engineer in Databricks
Part 3, Post 1: We are building an Agentic Data Engineer—an AI that sits alongside you, reads your enterprise metadata, and generates production-ready Databricks Spark Declarative Pipelines (SDP).
[Manifesto] The Agent Architect Series – Our Journey to Enterprise AI Architecture
Part 2 Post 7: Thirteen posts ago, we started with a simple premise: Generative AI is moving too fast for traditional software engineering to keep up.
Edge AI – Taking AI Offline with Gemma
Part 2 Post 6: By mastering local inference with open-weights models like Gemma, PyTorch, and LoRA, you can push intelligence into secure, air-gapped environments where the cloud cannot reach.
CI/CD for AI – The "LLM-as-a-Judge" Evaluator
Part 2 Post 5: Build a test suite that uses LLMs-as-a-Judge to mathematically grade our agent's accuracy before every deployment.
The Safety Layer – Guardrails, Interceptors, and Stopping Prompt Injections
Part 2 Post 4: Building an AI is easy. Defending an AI is incredibly hard. When you expose a Large Language Model to the real world, you are exposing your infrastructure to massive vulnerabilities.
The Architect’s View – Cost, Latency, and Context Caching
Part 2 Post 3: We are putting on our Architect hats to look at how to scale AI without going bankrupt, focusing on Model Routing, Latency Budgets, and the enterprise cheat code: __Context Caching.__
RAG from Scratch – Building a Vector Pipeline in Python
Part 2 Post 2: We are stepping out of our React frontend, opening up a Python environment, and building a Retrieval-Augmented Generation (RAG) pipeline from absolute scratch.
Grounding with Truth – The "Easy Button" for Enterprise AI
Part 2 Post 1: We shift our focus from building the application to engineering the intelligence. We tackle enterprise scaling problems: ingestion, vector databases, safety guardrails, and evaluation.
Bridging the Gap – Building the React Frontend for Our Multimodal AI
Part 1 Post 6: Today, we cross the bridge, over the Deployment Gap. In this final installment to Part 1, we step out of the terminal and into the browser to build a blazing-fast React frontend.
The Deployment Gap: Shipping AI Features with Firebase Genkit
Part 1 Post 5: The "Deployment Gap."; the graveyard of cool AI demos. Transitioning a prompt from a playground UI into a scalable, observable, and secure production API is surprisingly painful.
Prompt Engineering Lab: Mastering Multimodal System Instructions in Google AI Studio
Part 1 Post 4: Today, we are stepping into the lab. We are going to master Google AI Studio, ditch "voodoo prompting," and build a highly constrained, multimodal System Instruction for our next app.
Breaking the Glass: From No-Code Prototype to Production Python
Part 1 Post 3: Today, we break the glass. We are going to take the logic we prototyped in the console and port it to the Vertex AI SDK for Python; trading drag-and-drop for raw, production-ready code.
15 Minutes to Autonomy: Building Your First Agent with Vertex AI Agent Builder
Part 1 Post 2: Today, I’m going to show you how to build a fully grounded, production-grade research agent in 15 minutes using Vertex AI Agent Builder. No Python. No servers. Just pure logic.
Beyond the Chatbot: Why I’m Betting My Career on the Google AI Stack
Part 1: The era of the Agent is here. If you are still stitching together 'Franken-stacks' of disconnected APIs, you aren't building software—you're building technical debt.
From 13 Weeks to 13 Minutes: The Velocity Shift in Modern Software Development
Ai assisted application development has totally changed the modern software development life cycle. What once took 13 weeks can now take 13 minutes
Beyond the Slow Query Log: How AI is Autonomizing Database Performance
Database Performance Optimization Strategies Learn how to optimize your database performance with modern techniques, indexing strategies, and query optimization.
The Agentic Era: How AI is Rewriting the Software Development Life Cycle
Exploring how artificial intelligence is transforming the way we build and deploy modern applications, from code generation to intelligent automation.