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A new team spins up a service. They wire together a CI pipeline, stitch in some Terraform for infrastructure, and maybe β remember to add monitoring. Another team does the same, but with different tools, different conventions, and different assumptions. Fast forward a few months, and what was once a fast-moving engineering org is now struggling with undocumented know-how, snowflake pipelines, and production incidents...
Multimodal AI processes multiple forms of data, like images, sounds, and words, all at once, to empower your applications to not just listen to our voice or read text but also pick up facial expressions and the details around us. This technology is rapidly making our daily interactions easier and natural, and when using applications with which you can communicate, it feels almost as if you are chatting with your...
TL;DR: The Agile Manifesto Predicted AI The Agile world is splitting into two camps: Those convinced AI will automate practitioners out of existence, and those dismissing it as another crypto-level fad. Both are wrong. The evidence reveals something far more interesting and urgent: Principles written in 2001, before anyone imagined GPT-Whatever, align remarkably well with the most transformative technology of recent...
submitted by /u/BlueGoliath [link] [comments]
An engineer recently explored how the classic board game Guess Who? reveals the underlying logic of AI decision trees. In the game, players donβt guess β they ask the question that gives the most information, systematically eliminating possibilities until only one remains. This mirrors how decision trees in machine learning split data: each βquestionβ (feature) aims to reduce uncertainty and create cleaner partitions....
Reinforcement learning (RL) is one of the most powerful paradigms in artificial intelligence. Unlike supervised learning where you train models on labeled datasets, RL agents learn through direct interaction with their environment, receiving rewards ...
A while ago, a request emerged to implement a global find functionality in one of our products. Briefly, the purpose was to be able to search for multiple (different) entities by a pattern that is looked up and matched against several of their attributes. Not very complicated at first glance, such a feature comes with a lot of concerns and trade-offs that need to be analyzed, in addition to the implementation itself,...
Docker build is a fundamental concept every developer needs to understand. Whether you're containerizing your first application or optimizing existing Docker workflows, understanding Docker build contexts and Docker build architecture is essential fo...
As developers, it is important that when we build an application, we design keeping both its targeted scale and the cost of running it in mind. If we are building an internet-scale application that could start from zero traffic on day one and gradually achieve a scale of millions of daily users, we have to choose a design and set of tools that can scale in a similar fashion. This is easier said than done. Developers...
Many SaaS teams pay more attention to encryption, firewalls, and compliance checks. They often overlook an essential asset: documentation. Documentations may not be as exciting as a new firewall or security tool. However, unclear, outdated, or incomplete setup guides, API references, and internal runbooks can lead to security gaps.
See how we turned weekly accessibility signals into an automated, accountable remediation workflowβpowered by GitHub Copilot and crossβfunctional collaboration. The post How GitHub Copilot enabled accessibility governance process improvements in record time appeared first on The GitHub Blog.
Conversational AI is fundamentally transforming customer support, delivering instant, context-aware responses at a massive scale. With the global conversational AI market projected to reach $32.6 billion by 2030, growing at a CAGR of 23.6%, developers need efficient ways to deploy these powerful tools. Edge computing platforms like Cloudflare Workers and AI Gateway provide the ideal solution, enabling the deployment of...
For this yearβs Cybersecurity Awareness Month, the GitHub Bug Bounty team is excited to feature another spotlight on a talented security researcher β @xiridium! The post How a top bug bounty researcher got their start in security appeared first on The GitHub Blog.
Hey r/programming, I made walrus: a fast Write Ahead Log (WAL) in Rust built from first principles which achieves 1M ops/sec and 1 GB/s write bandwidth on consumer laptop. find it here: https://github.com/nubskr/walrus I also wrote a blog post explaining the architecture: https://nubskr.com/2025/10/06/walrus.html you can try it out with: cargo add walrus-rust just wanted to share it with the community and know their...
Most of us in software engineering have been there. You design a static data structure that supports blazing-fast queries for counting elements, searching patterns, or similar tasks. However, the moment you need to support insertions, performance collapses because rebuilding from scratch after every update is too slow. If you're lucky, you might find (or invent!) a different data structure which:
submitted by /u/ketralnis [link] [comments]
Developers are natural problem-solvers. We think in systems, patterns, and code. But one of the most underrated skills in a developer's toolkit has nothing to do with code; itβs writing. According to Atlassianβs 2025 State of DevEx report, developers lose an average of six hours per week due to poor documentation and organizational inefficiencies. Thatβs despite AI helping with productivity. The real bottleneck?...
When designing a database, developers often encounter a seemingly simple decision: Should we use a boolean or an integer to represent a (decision) field? While the difference might seem trivial at first, the choice can have significant implications for storage, maintainability, and scalability. Letβs explore the pros and cons of each approach, with a focus on storage size, operational overhead, and long-term...
Why the Way GPUs Talk to Each Other Matters Imagine youβre back in school, working on a group project. Everyone in the group is smart and capable, but the project keeps dragging. Not because people donβt know the answers, but because they waste time passing notes around or waiting for someone else to finish. Thatβs exactly what happens with GPUs. These processors are incredibly powerful, but the way they communicate β...
In 2025, AI-powered applications have advanced from generic chatbots to highly specialised assistants that understand your specific field, communicate in your style, and give contextually relevant answers. While Large Language Models (LLMs) like GPT-...
"Ownership" is one of the harder concepts to define in the modern enterprise. This feels deceptive because, from a personal and human level, ownership is a rather straightforward concept. When you own something as a person, like your car or your house, you control it completely, and you're accountable when things go wrong. Ownership means something fundamentally different for individuals than it does for enterprises,...
Ryan sits down with Dimitri Stiliadis, CTO and co-founder of Endor Labs, to talk about how AppSec is evolving to address AIβs use cases. They discuss the implications of AI-generated code on security practices, the importance of human oversight in managing vulnerabilities, and how organizations should be balancing security and efficiency with AI.
I wanted to share a personal project exploring the limits of Python for high-throughput network I/O. My clients would always say "lol no python, only go", so I wanted to see what was actually possible. After a lot of tuning, I managed to get a stable ~20,000 requests/second from a single client machine. The code itself is based on asyncio and a library called rnet, which is a Python wrapper for the high-performance...
i have always been fascinated by coding and how the games i play work and want to work in that field when im older but don't know where to start i have tried learning unity but i just can't understand where do i start submitted by /u/Upbeat-Doubt-1475 [link] [comments]
Hi everyone, The Tock Foundation / Better Bytes (the non-profit behind the Tock operating system) is launching a new virtual graduate-style seminar for practicing engineers, and we wanted to share it with this community. Title: Operating System Trade-Offs: Performance, Extensibility, and Security Description: The course is a 10-week deep dive into the fundamental trade-offs in systems design. The goal is to help...
submitted by /u/thedowcast [link] [comments]
AI is changing how software gets built. Explore the skills you need to keep up and stand out. The post The developer role is evolving. Hereβs how to stay ahead. appeared first on The GitHub Blog.
What if you could build a responsive and stunning landing page in minutes, with little to no coding? Well, AI tools like Context7 MCP make it possible to automate design tasks and seamlessly integrate them with powerful frameworks like Bootstrap 5. I...
Real-time applications are everywhere these days. From chat apps to stock dashboards and collaborative tools, users expect instant feedback. If youβve ever tried to test these apps, you know the challenge: traditional automation just doesnβt cut it. The page doesnβt reload, elements appear and disappear unpredictably, and multiple users can interact simultaneously.
When analyzing time series data, your main objective is to consider the period during which the data is collected and how your variable of interest changes over time. There are various libraries for time series forecasting in Python, and Darts is one...
Unlocking maximum performance from machine learning (ML) models rarely comes down to modeling choices alone. Far more often, excellence rests on how well one tunes hyperparameters and how deftly one engineers features. These processes-the quiet backbone of practical machine learning-are where the gap between acceptable and outstanding results is made or lost. This guide explores actionable strategies and decision...
If you are into AI and specifically generative AI, you definitely did not miss the buzz about OpenAI releasing open-source models for the first time since February 2019, and this was with GPT-2. It's like OpenAI has finally brought back the open into play.
Welcome to this LangGraph Beginner to Advanced series. LangGraph is one of the most popular frameworks for building agentic AI applications. With agentic AI, the application has a lot more scope and tasks to accomplish by navigating various flows and autonomously invoking various agents to fulfill a task completely. LangGraph is built within the LangChain system to act as an orchestration framework to build a...
Apache HBase Apache HBase is an open-source, strongly consistent distributed database designed to store record-oriented data across a scalable cluster of machines. HBase stores rows of data in tables that can be grouped into namespaces, and a table can belong to only one namespace at a time. Tables are split into groups of lexicographically adjacent rows called regions. By "lexicographically adjacent," we mean that all...