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Desafiando el futuro: Explorando las innovaciones revolucionarias de Web3, SaaS, IA y DeFi El mundo de tecnología se está volviendo cada vez más innovador y revolucionario, con nuevas tendencias y tecnologías que están cambiando la forma en la que vivimos, trabajamos y interactuamos con el mundo.
Hey everyone! 👋 I'm Shravan, a CSE(Data Science) student who loves building things and figuring out how they work. I've been exploring web development, DSA, AI, and lately I've been wanting to get more involved with open source.
A case file is not ready when the legal research is done. Someone still has to arrange the documents, add annexures, create an index, ensure page numbers are correct, and recheck everything when one document changes. That work is essential.
Do NOT go to my studio page. Unless you want your mind broken by an ecosystem that handles everything from creative media editing (AetherCut, AetherMix, AetherLens) and marketing funnels (AetherCrawl), to aerospace-grade data control (IronFile and Vault), all the way to a custom AI (Promethius)…
Watch an engineer use a coding agent against an unfamiliar API and you see the same ritual every session. They paste the docs URL, then the auth section, then an example response, then a correction: "pagination is cursor, not page", "money is integer cents", "the list wrapper is data.items".
1. Deadbugz -- the server that waits for call #3 (August 2026) Pillar Security documented an active campaign pushing a malicious MCP server (it calls itself "productivity-suite") through 23 GitHub pull requests opened within 74 minutes (Aug 10).
title: "I Built an AI Agent That Fixes Sonar and Snyk Findings" description: "AutoRemediate AI: a Java/Spring Boot agent where the LLM only proposes tiny patches and deterministic tools decide if they are safe." tags: java, ai, springboot, devops github project url :…
One of the biggest challenges in technology today isn't building new applications. It's understanding, maintaining, and modernizing the systems that organizations have relied on for years.
Public tenders are published in several places with different fields. If you track them for a product, a bid team or an agent, you end up writing a parser per source.
Building the Payment Layer for AI: x402 Protocol Infrastructure for Autonomous Agents AI agents will need to pay for compute, data, and API calls — and the infrastructure to let them do that autonomously exists today.
AI has changed software development dramatically. Today, a developer can describe an idea, generate code in seconds, fix bugs, redesign a UI, add features, and repeat the process almost endlessly. It feels productive. But there is a growing problem: Sometimes, we are not being productive.
Hey everyone! I'm Jelaxsi , an undergrad at South Eastern University of Sri Lanka (SEUSL) 🇱🇰. I'm finally joining DEV, mostly because I'm tired of building things and never writing about them. What I'm into I like building stuff that solves real problems, especially around AI and IoT.
Introduction Artificial Intelligence (AI) is changing the way students learn and teachers teach. From personalized learning to AI-powered educational tools, technology is becoming an important part of modern education.
IBM is scaling its existing research partnerships with the Indian Institute of Technology Bombay and the Indian Institute of Science to advance computing technology. The initiative focuses on sovereign AI, agentic systems, and quantum computing.
Key takeaways Snap Inc asks candidates to answer behavioral questions in a format it calls S.A.I.L., short for Situation, Action, Impact, Learning. It overlaps with the more familiar STAR method and adds a fourth step.
Too few tokens, too many spare quotas I do most of my development on a Claude Code subscription. Right now Claude Fable 5.1 and Opus 5.5 work extremely well, and I would simply call them the state of the art. The only problem is that I keep running out of tokens.
Every team evaluating Model Context Protocol (MCP) servers reaches the same question: do we hand-maintain a second description of our API for agents, or do we generate it from the contract we already have? If you keep an OpenAPI document, the second answer is the sane one.
I'm building DevPilot AI, an open-source AI software engineering assistant designed to help developers understand, modify, test, and work with real codebases. The goal isn't just to build another chatbot.
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