Archive of posts with category 'AI'
AWS Bedrock AgentCore: Building Production AI Agents in 2026
I spent most of last year watching teams try to build AI agents from scratch. The common thread: they underestimated the infrastructure. Everyone focuses on the model choice, spends a...
Amazon S3 Vectors vs Gemini File Search: Two Very Different Answers to the Same RAG Problem
AWS rolled out S3 Vectors in preview on July 15, 2025. Google put Gemini File Search into public preview on November 6, 2025. That changed the retrieval conversation. A year...
Bedrock AgentCore Stateful MCP Servers: Elicitation, Sampling, and Long-Lived Context
On March 10, 2026, AWS added stateful MCP server features to Amazon Bedrock AgentCore Runtime. If you only read the headline, it sounds like a protocol update. It is more...
AWS Agent Registry Preview: Govern Agents, MCP Servers, and Skills at Scale
On April 9, 2026, AWS launched AWS Agent Registry in preview inside Amazon Bedrock AgentCore. That launch matters because most teams are no longer struggling with a single agent demo....
Hybrid RAG on AWS: Amazon Bedrock and OpenSearch That Hold Up in Production
On March 1, 2024, AWS added hybrid search to Knowledge Bases for Amazon Bedrock for Amazon OpenSearch Serverless. On March 27, 2025, AWS added Amazon OpenSearch Managed Cluster as a...
How to Test AI Agents in CI/CD with Bedrock AgentCore Evaluations
AWS made Amazon Bedrock AgentCore Evaluations generally available on March 31, 2026. That launch matters because it answers the first serious production question every agent team eventually hits: how do...
Build Coding Agents on AgentCore: Shell Commands and Persistent Session Storage
Amazon Bedrock AgentCore got two features in March 2026 that matter far more than the marketing language around them. On March 17, 2026, AWS launched shell command execution in AgentCore...
Kiro: AWS's Agentic AI IDE Built Around Spec-Driven Development
AWS launched Kiro on July 14, 2025. It’s an agentic IDE built on Code OSS (the open-source foundation of VS Code) and it makes a specific bet: the biggest problem...
Customize Amazon Nova Models with Bedrock Fine-Tuning
Training a custom Nova model on Bedrock costs less than you probably expect. A supervised fine-tuning job on roughly 5,000 conversation examples — enough data to meaningfully shift model behavior...
Amazon Bedrock Model Lifecycle: ACTIVE, LEGACY, and End-of-Life
On April 28, 2026, Claude 3.7 Sonnet reached end-of-life on Amazon Bedrock. Calls to anthropic.claude-3-7-sonnet-20250219-v1:0 returned a ValidationException with the message “The provided model identifier is invalid.” No warning in...
Amazon Bedrock Cost Allocation by IAM User and Role
When three teams share a single AWS account and all call Bedrock, figuring out who spent what requires more than just looking at the monthly bill. The “Amazon Bedrock” line...
Bedrock Agents vs Direct Nova Pro API: Cost and Latency at Scale
At 1,000 multi-step requests per day, Bedrock Agents costs roughly $864/month. Running the same workload against Nova Pro directly with a custom orchestration layer costs about $137/month. That gap —...
Bedrock AgentCore Gateway Server-Side Tool Execution: Cleaner Than Client Tool Loops
On February 24, 2026, AWS announced server-side tool execution for Amazon Bedrock through Amazon Bedrock AgentCore Gateway integration with the Responses API. That launch changes a stubborn problem in agent...
Bedrock AgentCore AG-UI: Real-Time Agent Frontends Without Custom Event Plumbing
On March 13, 2026, AWS announced that Amazon Bedrock AgentCore Runtime now supports the Agent-User Interaction protocol, better known as AG-UI. That is more important than it sounds. Most agent...
Amazon S3 Files: Your S3 Bucket Now Has a File System
The announcement in April 2026 was surprisingly quiet for something that changes a real pain point. AWS shipped S3 Files — a feature that mounts an S3 bucket as a...
Unleashing the Power of AI & ML in Enhancing Cloud Security
As cloud usage grows, data spreads across servers everywhere. This creates a real problem: traditional security tools cannot keep up with cybercriminals who move fast and adapt faster. AI and...
Using Machine Learning for Time Management: What Actually Works
I’ve tested seven “AI-powered productivity” tools over the past two years. Three were genuinely useful. Four were polished demos that didn’t survive contact with a real calendar. This post is...
The Future of Software Development: AI and DevSecOps
Welcome to DevSecOps and Artificial Intelligence (AI) in software development. This post explores how AI fits into the DevSecOps landscape and how teams handle modern software development challenges.
Harnessing Generative AI for Efficient in DevOps
Cloud services run fast, and when they don’t, customers leave. That’s the reality of running anything online today. Downtime costs money. Latency costs customers. If you’ve ever watched your error...
Power BI Data Mastery: The Stuff They Don't Cover in the Tutorials
Every Power BI tutorial shows you the happy path. Click here, drag there, your chart appears. That works fine until you’re staring at a 50-million-row dataset at 2am, your refresh...
Metaverse as a Service: Building Virtual Business Platforms in 2023
I spent three months last year evaluating metaverse platforms for a client in the healthcare training space. We were deciding between building on Decentraland, rolling our own WebGL environment, or...