In the beginning (that is, the 90’s), developers created the three-tier application. Per Martin Fowler, these tiers were the data source tier, managing persistent data, the domain tier, implementing the application’s primary business logic, and the presentation tier, handling the interaction between the user and the software. The motivation for this separation is as relevant today as it was then:
Agentic GraphRAG for Commercial Contracts | Towards Data Science
In every business, legal contracts are foundational documents that define the relationships, obligations, and responsibilities between parties. Whether it’s a partnership agreement, an NDA, or a supplier contract, these documents often contain critical information that drives decision-making, risk management, and compliance. However, navigating and extracting insights from these contracts can be a
Beyond the 70%: Maximizing the human 30% of AI-assisted coding
Beyond the 70%: Maximizing the human 30% of AI-assisted codingWhy durable human skills matter in the age of AI-assisted coding This is a follow-up to my article “The 70% problem: Hard truths about AI-assisted coding” AI coding assistants like Cursor, Cline, Copilot and WindSurf have transformed how software is built, shouldering much of the grunt work and boilerplate. Yet, as experienced developer
Eliciting Reasoning in Language Models with Cognitive Tools Brown Ebouky IBM Research - Zurich ETH Zurich Brown.Ebouky@ibm.com Andrea Bartezzaghi IBM Research - Zurich abt@zurich.ibm.com Mattia Rigotti IBM Research - Zurich mrg@zurich.ibm.com Abstract The recent advent of reasoning models like OpenAI’s o1 was met with excited spec- ulation by the AI community about the mechanisms underlying these
GenAI Handbook
William Brown @willccbb | willcb.com v0.1 (June 5, 2024) Introduction This document aims to serve as a handbook for learning the key concepts underlying modern artificial intelligence systems. Given the speed of recent development in AI, there really isn’t a good textbook-style source for getting up-to-speed on the latest-and-greatest innovations in LLMs or other generative models, yet there is an
Exactly ten years ago today, we published "Why We Created Julia", introducing the Julia project to the world. At this point, we have moved well past the ambitious goals set out in the original blog post. Julia is now used by hundreds of thousands of people. It is taught at hundreds of universities and entire companies are being formed that build their software stacks on Julia. From personalized me
Why Mesop? - Mesop
Why Mesop?¶ Mesop is a new UI framework that enables Python developers to quickly build delightful web apps in a scalable way. Many Python UI frameworks are easy to get started with, but customizing beyond the defaults often requires diving into JavaScript, CSS, and HTML — a steep learning curve for many developers. Mesop provides a different approach, offering a framework that's both easy to lear
Over the past decade, my work has centred on partnering with teams to build ambitious products for the web across both desktop and mobile. This has provided a ring-side seat to a sweeping variety of teams, products, and technology stacks across more than 100 engagements. While I'd like to be spending most of this time working through improvements to web APIs, the majority of time spent with partne
This is an all-in-one crosspost of a scenario I originally published in three parts on my blog, No Set Gauge. Links to the originals: A History of the Future, 2025-2027A History of the Future, 2027-2030A History of the Future, 2030-2040 Thanks to Luke Drago, Duncan McClements, Theo Horsley, and Bilal Chughtai for comments. 2025-2027Below is part 1 of an extended scenario describing how the future
Create a modern data platform using the Data Build Tool (dbt) in the AWS Cloud | Amazon Web Services
AWS Big Data Blog Create a modern data platform using the Data Build Tool (dbt) in the AWS Cloud Building a data platform involves various approaches, each with its unique blend of complexities and solutions. A modern data platform entails maintaining data across multiple layers, targeting diverse platform capabilities like high performance, ease of development, cost-effectiveness, and DataOps fea
Modular Monolith and Microservices: Modularity is what truly matters
Get the Binary Log Newsletter - deep dives, broad explorations and distilled insights. For curious developers driven to master the craft: ModularityModularity is a crucial concept when designing and creating software. Independent of whether our chosen architecture style is to have: single unit of deployment - Monolith many units of deployment - Microservices/Services Modularity is a quality that s
Understanding and Remediating Cold Starts: An AWS Lambda Perspective | Amazon Web Services
AWS Compute Blog Understanding and Remediating Cold Starts: An AWS Lambda Perspective Cold starts are an important consideration when building applications on serverless platforms. In AWS Lambda, they refer to the initialization steps that occur when a function is invoked after a period of inactivity or during rapid scale-up. While typically brief and infrequent, cold starts can introduce addition
Function calling using LLMs
Building AI Agents that interact with the external world. While LLMs excel at generating cogent text based on their training data, they may also need to interact with external systems. Function calling allows them to construct such calls. The LLM does not execute these calls directly, instead it creates a data structure that describes the call, passing that to a separate program for execution and
Java Interview Questions
Java remains one of the most common and popular programming languages in the world because of its strong features. Therefore, it’s no surprise that good Java programmers are very much sought after by almost all organizations across the world – be it startups or large multinational corporations. Considering the above, we created a list of common job interview questions about Java programming with d
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The New Three-Tier Application | DBOS
Eliciting Reasoning in Language Models with Cognitive Tools
Why We Use Julia, 10 Years Later
If Not React, Then What? - Infrequently Noted
A History of the Future, 2025-2040 — LessWrong