Building in the AI-native era â where cloud meets coding assistants and agentic AI.
How to map the ANSSI AD tiering model onto AWS, why Managed AD may not be enough for Tier 0, and which AWS security services close the compliance gaps.
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Most RAG tutorials stop at 'put vectors in a database.' This post covers what actually determines quality: how you chunk documents, which vector search engine to pick, and how to measure and iterate on retrieval performance using Bedrock Knowledge Bases and LLM-as-judge evaluation.
Vector search, semantic search, keyword search, hybrid search â these terms get used interchangeably but they mean different things. This post breaks down what each actually does, when each matters, and why hybrid search wins for RAG.
Step-by-step guide to configuring a custom subdomain with Route 53 and securing an AWS Lightsail instance with a free TLS certificate using Let's Encrypt and Certbot.
A practical guide to replacing a third-party CA with ACM exportable public certificates â covering pricing, automation patterns, industry validity changes, and the gotchas nobody mentions.
AWS KMS doesn't allow key material export by design. When an external PKI partner generates keys but doesn't retain them, you're stuck. Here are the four AWS alternatives â CloudHSM, XKS, Private CA, and fixing the process â with a decision framework to pick the right one.
A deep architectural comparison of four open-source frameworks that turn messaging apps into AI assistant interfaces â from a 349-file TypeScript monolith to a 10MB Go binary that runs on a $10 board.
A deep dive into the multi-agent architecture behind AWS Security Agent's automated penetration testing â from specialized agent swarms to assertion-based validation.
A 5-component framework for writing effective system prompts for any AI agent â Bedrock Agents, Claude Code, LangChain, Strands, or custom builds. With a practical Claude Code implementation.
A deep dive into World Monitor â an open-source intelligence dashboard that aggregates 150+ feeds, 40+ geospatial layers, and AI-powered analysis into a real-time situational awareness platform. What OSINT is, how these platforms work under the hood, and why it matters now more than ever.
A tech worker's guide to IPOs, startup valuations, equity compensation, and what it actually means when you join a pre-IPO company.
When your security team says 'make it private', they usually mean 'make it secure.' This post compares four approaches â VPC privatization, WAF IP allowlisting, CloudFront + auth hardening, and AWS Verified Access â and explains why Zero Trust beats network perimeters for internal applications.
A beginner-friendly walkthrough of how an LLM actually works end-to-end: from typing a prompt to receiving a response â covering tokenization, embeddings, Transformer layers, KV cache, the training loop, embeddings for search, and why decoder-only models won.
The 5 key concepts every cloud architect should know about LLM serving: PagedAttention, KV cache mechanics, continuous batching, MoE trade-offs, and real production numbers.
A visual, jargon-free guide comparing MPLS, SD-WAN, and AWS CloudWAN for enterprise networking â with analogies, comparison tables, and an architecture diagram showing how the three layers connect.
Turn Claude Code into a persistent executive assistant with morning briefings, auto-logging, context-aware reminders, complex skills, and a memory that compounds over time â using only markdown files.
Two strategies to shrink LLMs â one compresses weights, the other transfers knowledge. A practical guide to distillation and quantization: when to use each, how to implement them with Hugging Face, and why the real answer is both.
What TFLOPS actually measures, why FP16 matters for LLMs, and why the most important GPU bottleneck for inference isn't compute at all.
A practical walkthrough of two paths to working with Mistral â the managed API for fast prototyping and self-hosted deployment for full control â with real code covering prompting, model selection, function calling, RAG, and INT8 quantization.
Everything a cloud/AWS engineer needs to know about Python, the Hugging Face Transformers framework, SageMaker integration, quantization, CUDA, and AWS Inferentia â without being a data scientist.
A deep dive into the Transformer architecture â how attention connects tokens and why the Feed-Forward Network is the real brain of the model. Plus the key to understanding Mixture of Experts (MoE).
A curated summary of the most important AWS announcements from February 2026 â from Bedrock AgentCore deep dives to new EC2 instances and the European Sovereign Cloud.
End-to-end guide: fine-tune Mistral models with LoRA using Hugging Face Transformers, then deploy at scale with vLLM on AWS â from training to production serving on SageMaker, ECS, or Bedrock.
A hands-on walkthrough of deploying OpenClaw on AWS using AgentCore Runtime for serverless agent execution, Graviton ARM instances, and multi-model Bedrock access â from CloudFormation template to customizing the agent's personality.
Unitree ships a humanoid robot with 43 degrees of freedom, a full AI training pipeline on GitHub, and Apple Vision Pro teleoperation â for $13.5K. Here's what the developer ecosystem looks like.
How to architect a secure, multi-tenant SFTP service across AWS accounts using Transfer Family, NLB, Transit Gateway, and per-partner S3 isolation.
AWS now offers 9 different ways to store and search vectors for RAG workloads. This guide compares every option through the Well-Architected Framework to help you pick the right one.
A practical walkthrough of how large language models are aligned with human values â from collecting feedback to PPO optimization and the reward hacking pitfalls.
Understand how LLM fine-tuning works, when to use it, and how to choose between full fine-tuning, LoRA, soft prompts, and other PEFT methods.
AI platform teams need governance before scaling. Learn how to use Amazon Bedrock inference profiles, AWS Budgets, and a proactive cost control pattern to track, allocate, and cap AI spending per team.
XKS protects key material from extraction, but does it protect against legal compulsion to use those keys? Updated with AWS European Sovereign Cloud (GA January 2026).
How to identify, clean, and monitor the hidden storage consumers that come with AI-assisted development tools like Claude Code and Kiro
How we combined a Reachy humanoid robot with Amazon Bedrock Nova Sonic to create an AI-powered Solutions Architect for AWS Summits
EBS snapshot costs were growing month-over-month with no clear explanation or optimization strategy.
Discover AI-DLC (AI Development Lifecycle), a structured framework for AI-assisted software development. Learn how I used it to build this blog from scratch and how it enables continuous iteration.
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A practical guide to building generative AI applications with Amazon Bedrock
Enterprise workflows often require interacting with web applications that lack APIs. Traditional automation scripts are brittle and break when UIs change.
Building a production forecasting application without the complexity of traditional ML model training and feature engineering.