Most organizations are asking the wrong question about agentic AI. They want to know which agents to build. The successful ones are asking something different: where do agents actually fit into how we work? That distinction matters more than most pe...

Enterprise AI has a production problem. Organizations can build agents in the lab. Getting them into production — governed, auditable, and scaling across departments — is another story. Kore.ai thinks it has a fix. The company today launched the Kor...

Java modernization is one of those tasks that sits in the backlog for years. Everyone knows it needs to happen. Nobody wants to be the team that breaks production by doing it. Blue Pearl, a South African IT consultancy, was in exactly that position....

For the past few years, enterprise AI has had a consistency problem. Organizations run pilots, see promising results, and then struggle to move those projects into production. The gap between "this works in a demo" and "this runs our business" has be...

A Fortune 100 organization got hit hard. Attackers used stolen credentials and native tools — no malware. They deleted thousands of endpoints and virtual clusters. Traditional defenses never fired. But the data layer? Untouched. That's the story Br...

Most Dev's Journey stories start with a first line of code. Mine starts somewhere different. I came from marketing. And somewhere along the way, I became a technology writer — not because I could build software, but because I was genuinely curious a...

For years, HYCU built its reputation on one core promise: protect your SaaS data, no matter where it lives. With coverage across more than 100 workloads — from GitHub and Jira to Salesforce, Okta, and Microsoft 365 — they became one of the most compr...

Boomi held its annual Boomi World conference this week in Chicago, and the announcements came fast. For developers and engineers building or managing enterprise AI systems, there's a lot here worth paying attention to — from a generally available pro...

The company's latest GreenLake updates take aim at virtualization complexity, fragmented data management, and the growing pressure to support AI workloads on premises. Managing enterprise infrastructure has gotten more complicated over the past few ...

Customer service has a memory problem. You call a company, get transferred, and have to repeat your entire story from scratch. You switch from chat to email, and no one on the other end has any context. It's frustrating — and it's been the norm for t...

A new report from F5 shows that most enterprises are running AI in production. The challenge now isn't adoption — it's management. For years, organizations have been experimenting with AI. Testing it. Running proofs of concept. Building internal dem...

A new agentic AI for ServiceNow can take a business requirement and configure the platform without a developer in the loop. That's not a future roadmap item. It's shipping now. The PocketOS incident is still fresh. A Claude agent running inside Cur...

AI coding agents are changing how developers work. Tools like Claude Code, Cursor, Codex, and GitHub Copilot can spin up code, configure environments, and interact with infrastructure faster than ever before. But speed without security creates new pr...

A new report from Qodo puts some hard numbers behind something most developers already feel: AI coding tools are moving faster than the systems built to catch their mistakes. The report, based on a Censuswide survey of 500 U.S. IT engineers and en...

Agentic AI just got a little more organized. Google announced this week that subagents have officially arrived in Gemini CLI, giving developers a structured way to break large, complex tasks into smaller, focused workloads handled by specialized agen...

Every few decades, someone declares software engineering dead or about to be automated away. It hasn't happened yet — and why it hasn't is worth understanding if you're a developer trying to figure out where to put your energy right now. Grady Booc...

There's a version of AI-assisted development that sounds like progress but functions more like regression. A developer sits alone, orchestrating ten agents, each working a different branch of a codebase. Output is high. Pull requests are flying. And...

AI coding agents can generate code in seconds. Your CI/CD pipeline cannot keep up. That gap is the next major problem in software development. And it's one the industry is only beginning to take seriously. For most engineering teams, the developmen...

A year ago, enterprise teams that wanted to run autonomous AI agents in production faced a common problem. The capability was real, but the infrastructure wasn't. To run an agent reliably — with proper security boundaries, state persistence across se...

Most AI coding tools work the same way. A developer spots a problem, writes a prompt, and the agent executes. It's useful. But the developer still drives every single decision. Google appears to be rethinking that model entirely. The company's Jul...