Archives
- 02 Jul Understanding the Policy Priority Model in Antigravity
- 02 Jul Testing Strategies for Automating Antigravity Workflows
- 02 Jul System Instructions Architecture in Antigravity
- 02 Jul Orchestrating Multi-Agent Teams with Subagents and Worktrees in Antigravity 2.0
- 02 Jul Hook Contexts: Session, Turn, and Operation State in the Antigravity SDK
- 02 Jul Triggers: Event-Driven Agents That React Without Prompting in Antigravity
- 02 Jul Disabling Tools vs. Denying Them in Antigravity
- 02 Jul Building Self-Correcting Agent Pipelines using Sidecars and Scheduled Tasks in Antigravity
- 02 Jul Building a Safety Architecture for Autonomous Agents using Antigravity SDK
- 02 Jul AI-Driven Visual Regression Testing with Antigravity 2.0
- 12 Jun vLLM Deep Dive Part 3: Architectures — 60+ Models, What Actually Makes Them Different, and the 2026 Frontier
- 12 Jun vLLM Deep Dive Part 2: Scaling — Speculative Decoding, Parallelism, and Disaggregated Serving
- 12 Jun vLLM Deep Dive: The Engine — How vLLM Turns a Single GPU into a Serving Machine
- 08 Jun Which LLM Serving Framework Should You Use? A Practical Comparison
- 06 Jun LLM Evaluation in Depth: Benchmarks, Contamination, and What Actually Matters
- 03 Jun LLM Serving in Depth: Batching, Scheduling, and Parallelism
- 30 May Context Length Scaling: RoPE, YaRN, Ring Attention, and the Cost of Long Context
- 26 May Mixture of Experts: Routing, Sparse Activation, and Why MoE Dominates at Scale
- 22 May Speculative Decoding: Generating Multiple Tokens Per Step
- 18 May CUDA Kernels and FlashAttention: Why Memory Bandwidth Is the Bottleneck
- 14 May A Quantization Primer: Formats, Architecture Sensitivity, and a Gemma 4 Case Study
- 13 May Knowledge Distillation: Making Smaller Models That Punch Above Their Weight
- 10 May Fine-Tuning and Adaptation: LoRA, QLoRA, RLHF, and DPO in Depth
- 06 May Training vs Inference: Why the Same Model Costs 10× More to Train
- 02 May The Memory Math: What Fits on a GPU?
- 28 Apr Attention Mechanisms and KV Cache: From First Principles to Gemma 4's Architecture
- 24 Apr Inside LLM Inference: Every Calculation from Text to Token using Gemma 4 12B
- 20 Apr Tokenisation in Depth: BPE, SentencePiece, Vocabularies, and Why Tokens Are Not Words
- 17 Mar Securing Autonomous Agents - Introducing Nvidia NemoClaw
- 14 Feb Chapter 10 - Agentic Frameworks and Generative UI
- 14 Feb Chapter 9 - Context Engineering and RAG
- 14 Feb Chapter 8 - Fine-Tuning and Alignment
- 14 Feb Chapter 7 - Efficient Inference and Quantization
- 14 Feb Chapter 6 - The LLM Zoo
- 14 Feb Chapter 5 - Beyond Text – Diffusion and Multimodal
- 14 Feb Chapter 4 -The Transformer Block
- 14 Feb Chapter 3 - Attention Is All You Need
- 14 Feb Chapter 2 - Tokenization and Embeddings
- 14 Feb Chapter 1 - The Pre-Generative Era
- 09 Feb 5. OpenClaw — Security, Logging, and Recovery
- 09 Feb 4. OpenClaw — Tools, Sandbox, and Scheduler
- 09 Feb 3. OpenClaw — Channels, Routing, and Nodes
- 09 Feb 2. OpenClaw — Agent Loop, Context, and Models
- 09 Feb 1. OpenClaw — Gateway, Workspace, and Identity
- 12 Jan Advanced Tips for Mastering Google Antigravity
- 10 Dec How Gemini 3 is Revolutionizing NFL Film Study
- 28 Oct A Deep Dive into Andrey Karpathy's Nanochat
- 18 Oct Remote Debugging your AI Agents Using Chrome DevTool MCP on Cloud IDEs
- 22 Aug Appendix C - ADK Troubleshooting Guide
- 22 Aug Appendix B - ADK CLI Reference
- 22 Aug Appendix A - Run Code Examples
- 22 Aug Chapter 24 - Extending and Customizing ADK
- 22 Aug Chapter 23 - Security Best Practices for ADK Agents
- 22 Aug Chapter 22 - Telemetry, Logging, and Debugging
- 22 Aug Chapter 21 - Deploying ADK Agents
- 22 Aug Chapter 20 - Evaluating Agent Performance
- 22 Aug Chapter 19 - Long-Term Memory for Agents
- 22 Aug Chapter 18 - Artifact Management
- 22 Aug Chapter 17 - Session Management and State Persistence
- 22 Aug Chapter 16 - ADK Runner and Runtime Configuration
- 22 Aug Chapter 15 - ADK in Action - Building the "ADK Expert Agent"
- 22 Aug Chapter 14 - Advanced Multi-Agent Interactions: LangGraphAgent and A2A
- 22 Aug Chapter 13 - Implementing Orchestration Logic with Shell Agents
- 22 Aug Chapter 12 - Designing Multi-Agent Architectures
- 22 Aug Chapter 11 - Orchestrating Agent Behavior: Flows and Planners
- 22 Aug Chapter 10 - Use your favorite LLMs
- 22 Aug Chapter 9 - Enabling Agents with Code Execution
- 22 Aug Chapter 8 - Advanced MCP Tooling and Framework Integrations
- 22 Aug Chapter 7 - Integrating with External APIs: OpenAPI and API Hub
- 22 Aug Chapter 6 - Leveraging Pre-built and Specialized Tools
- 22 Aug Chapter 5 - Equipping Agents with Tools: The FunctionTool
- 22 Aug Chapter 4 - Crafting Your First LlmAgent
- 22 Aug Chapter 3 - Core ADK Concepts and Building Blocks
- 22 Aug Chapter 2 - Setting Up Your ADK Environment
- 22 Aug Chapter 1 - Introduction to AI Agents and the Agent Development Kit (ADK)
- 02 Jul A Cheatsheet on Identities, Tokens, and Keyless Authentication on Google Cloud
- 30 Jun Gemini CLI Series: From First Prompt to Personalized Powerhouse
- 30 Jun Gemini CLI Series: Architecting Secure, Extensible AI Workflows
- 27 Jun A Cheatsheet to Level Up Your Terraform
- 23 Jun Appendix A - Running the Code Examples
- 23 Jun Chapter 11 - Case Study: The Airline Customer Service Bot
- 23 Jun Chapter 10 - Tracing, Debugging, and Visualization
- 23 Jun Chapter 9 - Guardrails for Safety and Control
- 23 Jun Chapter 8 - Multi-Agent Orchestration Patterns
- 23 Jun Chapter 7 - Handoffs and Agent Delegation
- 23 Jun Chapter 6 - Model Context Protocol (MCP): The Universal Adapter for Tools
- 23 Jun Chapter 5 - Empowering Agents with Tools
- 23 Jun Chapter 4 - Anatomy of an Agent
- 23 Jun Chapter 3 - Beyond OpenAI: Using Any Model Provider
- 23 Jun Chapter 2 - Your First Agent: Quickstart and the Runner
- 23 Jun Chapter 1 - An Introduction to Agentic AI
- 15 Jun A Developer's Guide to AI Agents: OpenAI Agents SDK vs. Google's ADK
- 11 Jun Your AI-Powered Companion for Building with Google's Agent Development Kit
- 07 May How I created my first Chrome Extension via Iterative Prompting using Gemini 2.5 Pro
- 27 Apr Supercharge Your AI Agents by Combining Google ADK with MCP