The Model Context Protocol (MCP) is revolutionizing how AI assistants interact with external tools. But building MCP servers from scratch? That’s tedious. In this post, I’ll show you how we Continue reading How I Built an MCP Server in 50 Lines of Python (Auto-Generated from OpenAPI)
🦄 Making great presentations more accessible. This project aims to enhances multilingual accessibility and discoverability while maintaining the integrity of original content. Detailed transcriptions and keyframes preserve the nuances and Continue reading AWS re:Invent 2025 – Create hyper-personalized voice interactions with Amazon Nova Sonic (AIM374)
🦄 Making great presentations more accessible. This project aims to enhances multilingual accessibility and discoverability while maintaining the integrity of original content. Detailed transcriptions and keyframes preserve the nuances and Continue reading AWS re:Invent 2025 – Building scalable applications with text and multimodal understanding (AIM375)
🦄 Making great presentations more accessible. This project aims to enhances multilingual accessibility and discoverability while maintaining the integrity of original content. Detailed transcriptions and keyframes preserve the nuances and Continue reading AWS re:Invent 2025 – Customize models for agentic AI at scale with SageMaker AI and Bedrock (AIM381)
Generative Adversarial Networks (GANs) are a class of machine learning frameworks introduced by Ian Goodfellow in 2014. They are designed to generate new data samples that resemble a given dataset. Continue reading How do generative adversarial networks (GANs) function?
As AI moves beyond single-turn prompts into planning, reasoning, memory, tool use and multi-step workflows, developers are shifting toward agentic AI frameworks which are structured systems for building reliable AI Continue reading The Best Agentic AI Framework Options for Building Multi Agent Systems in 2025
How I Designed GPU vs CPU Pipelines for a High-Volume ML Classification System TL;DR: I architected a dual-pipeline system that routes ML inference workloads to either GPU or CPU based Continue reading How I Designed GPU vs CPU Pipelines for a High-Volume ML Classification System
or: Why tuning Postgres still feels like rocket science – and why we’re happy to offload it to a robot. TL;DR At Papershift, we run our core product on Postgres Continue reading How We Used DBtune to Cut Our Postgres Query Time by 50% on AWS RDS
Amazon Bedrock AgentCore is AWS Developer-Oriented Platform for Building, Deploying, Scaling and Managing your AI Agent Production-Scale. In this year re:Invent at Las Vegas, AWS announced a number of updates Continue reading Amazon Bedrock AgentCore Policy – Secure your “MCP Server/Tools” of your Agents using NLP
Testing frontend error handling is a pain. You want to verify that your React/Vue app shows a nice “Retry” button when the API fails. Or you want to check if Continue reading Don’t Break Your WiFi: How to Simulate 503 Errors in a Single Browser Tab
As AI becomes more involved in software development, an important question appears. How should software be shaped so that AI tools can contribute meaningfully Modern AI systems can assist with Continue reading Smaller Self Contained Units: Writing Code that AI Can Work With
“We’re saving 135 hours per month just in our marketing team.” That’s what the VP of Marketing told me about their AI document workflow. Not theoretical savings. Real, measurable time Continue reading How AI is Transforming Document Work Across Industries: Use Cases
Introduction In today’s fast‑paced evolving financial world, the ability to make quick, informed, and accurate decisions is critical. Financial institutions handle massive amounts of data daily, from tracking market trends Continue reading The Impact of Excel on Decision‑Making in Financial Institutions
Python’s asyncio library is a game-changer for writing concurrent code, particularly for I/O-bound tasks like network requests or file operations. This guide will walk you through the essentials of building Continue reading How to Use Python’s asyncio to Build High-Performance I/O-Bound Applications
Lessons learned building a global API platform, navigating hyper-growth, and API-powered AI agents.
