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Are You Correctly Deploying LLMs on Kubernetes in 2025?

We are in mid-2025, and teams across industries are rolling out large language models, or LLMs, to power everything from conversational agents to document understanding. However, getting them to run smoothly in production… That’s still a challenge. A working model isn’t just about putting it in a container and tossing it into a Kubernetes cluster.

How SaaS Companies Can Profitably Price AI Agents

AI agents are undoubtedly exciting. What company would turn down the opportunity to use an intelligent bot that can make decisions, perform complex tasks, and take on the tedious work employees would normally have to deal with? On paper, AI agents sound like tremendous time and money-savers. The reality, however, is a bit different from the fantasy.

GitKraken Desktop 11.2: Merge Conflicts, Meet AI (and More Dev-Quality-of-Life Wins)

We’ve been steadily building something powerful into GitKraken: AI that understands your code and your context. In recent releases, GitKraken AI has already helped you: Now, in version 11.2, it’s tackling one of the most frustrating parts of your day: merge conflicts.

Seer, Sentry's AI Debugger, is Generally Available

Tired of trying to guess if that half-baked LLM suggestion is really going to fix the issue with your code? Meet Seer—our new AI agent that taps into all the issue context from Sentry and your codebase to not just guess, but root cause gnarly issues and propose merge-ready fixes specific to your application. Code gen tools are great fun—and useful. But even a recent Microsoft study confirmed what you already know: AI struggles with debugging.

The hype is over: Generative AI is driving the evolution of search within enterprises

Discover how Accenture and Elastic are helping businesses seize the opportunities offered by generative AI When it comes to generative AI, enterprises need to think big. Shaving a few seconds off the time needed to draft an email is helpful, but the journey to real value begins when you apply AI at the enterprise level. A new partnership between Accenture and Elastic combines technical expertise and strategic excellence, enabling businesses to build the data foundations for a successful AI future.

PaperTyper.AI Review: A Smart AI Typer Built for Real College Work

There's a big difference between typing fast and actually knowing what to say. When a deadline's closing in, even the best ideas can get stuck in your head with no easy way out. That's why so many students turn to writing tools. Not because they want shortcuts, but because they're trying to keep up. PaperTyper.AI is one of those. It offers a fast, structured way to generate drafts and get ideas moving, which makes it a decent AI typer for most academic tasks.

Future-Ready Foundations: How a Website Design Agency Future-Proofs Your Online Presence

A static online presence quickly fades into irrelevance in today's fast-moving digital world. Businesses that once thrived with a simple website now face new challenges - from changing algorithms and evolving design trends to shifting user behaviors and increased security threats. Maintaining relevance requires more than occasional updates or DIY fixes as online expectations grow. A website that works today may underperform tomorrow if it lacks adaptability. This is where a website design agency plays a transformative role.

Meet dbForge AI Assistant: Your Invaluable Sidekick That Reinvents SQL Coding

If writing SQL code is part of your daily work, you won’t be surprised by things like context-aware code completion, as-you-type syntax validation, and debugging. All of them are designed to enhance and speed up your SQL coding. But what if we said that you could completely reshape your experience with an AI-powered assistant? What if you could have your error-free queries generated, analyzed, and optimized in just a couple of moments?

Edwin AI Turns One: What a Year of Agentic AIOps Looks Like

Twelve months ago, we shipped Edwin AI with a specific hypothesis that AI agents could handle the operational drudgery slowing down ITOps teams. It was a deliberate bet against the cautious consensus that AI should act only as a copilot, limited to offering suggestions. Most AIOps tools still follow that script. They’re stuck surfacing insights and stop short of action. Edwin was built differently. It was designed to make decisions, correlate events, and execute fixes.