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An API (Application package interface) is a software tool that enables researchers and developers to access some third-party data and functionality within a main software. Usually, it’s a collection of software commands that act as an interface to an external database. Web 3 APIs act as translators, enabling applications to interact with features like smart contracts and on-chain data, empowering you to harness the...
Every modern software application relies on a database to persist and manage its data. The choice of database technology is largely influenced by theapplication’s data model and its read and write throughput. For large datasets, query efficiency is critical. An inefficient query that works on a small dataset can quickly turn into a performance bottleneck when scaled to hundreds of thousands or millions of data points....
Secrets management in AWS has traditionally relied on long-lived secrets stored in Secrets Manager or Parameter Store. But as attack surfaces grow and threat actors become faster at exploiting exposed credentials, even rotated secrets begin to look like liabilities. The future of security in AWS leans toward ephemeral access, where credentials are generated just-in-time, scoped to the minimum needed permission, and...
Go makes it easy to build APIs that are fast out of the box. But as usage grows, speed at the language level is not enough. If every request keeps hitting the database, crunching the same data, or serializing the same JSON over and over, latency cree...
Amazon Bedrock AgentCore is a managed service that makes it easier to build, deploy, and operate AI agents securely at scale on AWS. It works seamlessly with frameworks like Strands Agents, LangGraph, CrewAI, and LlamaIndex, while taking care of the ...
Over the years, Docker has become a black box for many developers — we use it daily, but very few of us actually understand what happens under the hood. I wanted to truly understand how containers isolate processes, manage filesystems, and set up networking. So I decided to build my own container from scratch using only Bash scripts — no Docker, no Podman, just Linux primitives like: • chroot for filesystem isolation •...
It's no secret that reviewing pull requests is time consuming, and incredibly important. Speeding up reviews, and enabling higher quality reviews, should therefore be a crucial skill for all developers. However, I find the vast majority of PRs to be incredibly unfriendly to reviewers. In this post I wrote about some git commands that will help you craft PRs that are much easier to review. With a bit of practice it ends...
Recently, one of my best friends, who is, in the meantime, one of the smartest developers I have the luck to know, asked me what book he should read next to further develop his skills. It took me some time to gather my thoughts, and it might be useful for others, too. Spoiler alert: I could not find a single book that I would say isthe oneto read as a senior developer. Instead, I summarized the books that I found good...
submitted by /u/Beyarkay [link] [comments]
You've spent the last two years playing with ChatGPT, GitHub Copilot, and various AI assistants. You ask questions, they answer. You request code, they generate it. But here's what's changing in 2025: AI is about to stop waiting for your instructions and start completing entire workflows autonomously. Welcome to the age of agentic AI — and it's going to fundamentally change how software gets built, deployed, and...
Every system collects stale data over time — that part is obvious. What’s less obvious is how much of it your platform will accumulate and, more importantly, whether it builds up in places it never should. That’s no longer just an operational issue but an architectural one. In my experience, I’ve often found stale data hiding in corners nobody thinks about. On the surface, they look harmless, but over time, they start...
GitHub Copilot and AI agents are making legacy COBOL systems accessible to modern developers. The post How GitHub Copilot and AI agents are saving legacy systems appeared first on The GitHub Blog.
Snowflake is a cloud-native data platform known for its scalability, security, and excellent SQL engine, making it ideal for modern analytics workloads. Here in this article I made an attempt to deep dive into advanced SQL queries for online retail analytics, using Snowflake’s capabilities to have insights for trend analysis, customer segmentation, and user journey mapping with seven practical queries, each with a...
The Challenge Developing open-source software for deployment on Arm64 architecture requires a robust continuous integration and continuous deployment (CI/CD) environment. Yet, there has historically been a disparity between the levels of support for Arm64 and traditional x86 processor architectures, with Arm64 usually at a disadvantage. Developers of infrastructure components for multiple architectures have certain...
Managing public key infrastructure (PKI) is challenging, especially in dynamic, cloud-native environments. In the “good old days,” you could create a virtual machine, place a certificate on it, and forget about it for a couple of years (or at least until the certificate expired). But as modern infrastructure has evolved, a more automated and scalable approach is needed. In this article, we’ll explore how to configure...
Microsoft Fabric has been everywhere since its preview in 2023. From the rapid growth of features to rapid adoption, what began as a unified data platform is now a full-stack ecosystem. For an experienced Power BI user, Fabric will be both familiar and upgraded, even complex at that. The learning curve is steep but justified by the payoff. BI teams are enabled to move beyond dashboards to orchestration, governance, and...
Working with data at any level, whether as an analyst, engineer, scientist, or decision-maker, involves going through a range of challenges. Even experienced teams can run into issues that quietly affect the quality of their work. A mislabeled column...
Introduction - Making AI Better. In my previous article, I discussed why making AI faster, better, and cheaper is a critical need today. And I introduced my aim to draw from real-world experiences to discuss doing so I also shared a deep dive into the main challenges and strategies to make AI Faster, while bringing out three key perspectives: End Users, AI Developers, and Businesses. In this article, I will focus on...
I have spent countless hours debugging slow Spark jobs, and it almost always comes down to a handful of common pitfalls. Apache Spark is a powerful distributed processing engine, but getting top performance requires more than just running your code on a cluster. Even with Spark’s built-in Catalyst optimizer and Tungsten execution engine, a poorly written or configured Spark job can run slowly or inefficiently. In my...
Every quant knows the ritual: collect historical prices, engineer features, and run a backtest. Yet when those same backtests are applied to thinly traded equities or frontier markets, results collapse. Missing data points, illiquidity, regulatory shifts, and outright distortions creep in. The backtest looks elegant on paper, but fails instantly in production. The issue is not strategy alone — it is the dataset itself....
Ryan welcomes Dhruv Batra, co-founder and chief scientist at Yutori, to explore the future of AI agents, how AI usage is changing the way people interact with advertisements and the web as a whole, and the challenges that proactive AI agents may face when being integrated into workflows and personal internet use.
submitted by /u/Sushant098123 [link] [comments]
Saw this on theprimeagen stream, thought it would be interested to share. Anyone here who did a codesmith bootcamp? submitted by /u/Happy_Junket_9540 [link] [comments]
Hey there! I've built a Python project that uses data, stats, and a few clever tricks to simulate the result of a football match between two teams (national or league). The bot works by analyzing the last games of each team, taking into account things like wins, losses, home and away performances, and even the relative strength of their leagues. It then calculates a custom score for both sides and predicts whether Team...
Discover how to use GitHub Copilot directly in the terminal. From cloning a repository to opening a pull request, here’s how to streamline your workflow with Copilot CLI. The post GitHub Copilot CLI: How to get started appeared first on The GitHub Blog.
I’m a software engineer who wanted to understand what really happens inside a compiler — from parsing to interpreting. So I built a small educational project called **Mini C Compiler**, which supports a subset of C and runs code through an interpreter. It’s not meant to be fast or complete, but to help understand the core concepts in a hands-on way. I’ve also included full documentation explaining each step for anyone...
Lately, it feels like everyone is talking about responsible AI — but what does it actually mean when you are the engineer pushing a model to production? You already check for latency, accuracy, and monitoring before a release — but do you ever check off "ethical AI"? When your model delivers a prediction or recommendation and a user asks, "Why these results and not the other ?", do you have a clear explanation or just...
I wonder what do you guys think about the whole idea of introducing scripting language into Key-Value store so that you can "execute part of your application logic inside Redis, efficiently and atomically". submitted by /u/matt_112358 [link] [comments]
“A test isn’t proof that something is correct, it’s proof that one piece of code behaves the way another piece of code thinks it should behave.” This thought hit me the other day while writing a few “perfectly passing” tests. I realized they weren’t actually proving anything — just confirming that my assumptions in two places matched. When both your implementation and your test share the same wrong assumption,...
Abstract In the context of financial services application development, adherence to architectural guidelines is essential. A team of IT architects experimented with Large Language Models (LLMs) to automate the generation of REST interfaces, reducing development time by up to 30%. However, the implementation revealed limitations in managing complexity and ensuring rule consistency. This article explores the challenges...
Damning opening words from Edwin Heathcote in Why designers abandoned their dreams of changing the world. Every single thing on Earth not produced by nature had been designed.That was the spiel.Design wanted it all. Now Earth is a mess,its climate warming rapidly, its seas full of waste. There are microplastics in the glaciers, the air […]
Apache Iceberg Open Table Formatwas released in the community with many features, but became popular due to interoperability. This interoperability makes Iceberg vendor-agnostic and SQL engine-agnostic. Iceberg REST Catalog (IRC) made interoperability smooth and simple. IRC can solve integration-related challenges in big data analytics ecosystems. This becomes so important, especially in the Data Mesh framework, where...
Every developer has faced this moment: you deploy an update, everything works fine, and then that small voice in your head asks, “But is it secure?” You have run your unit tests, your linter is happy, and the code reviews are green. Still, you know t...
n8n is a visual, node-based automation platform that lets you automate tasks with drag-and-drop nodes. It’s popular for multi-step automations and AI chains thanks to built-in nodes for agents and app integrations. In this tutorial, you’ll build a sm...
APIs are the buzzword of the software industry these days. They power most modern applications and allow seamless communication between different systems, services, and platforms. From booking a cab to making online payments, APIs silently work in the background to connect everything. They not only save development time but also enhance scalability, flexibility, and innovation for businesses. In short, APIs act as the...