The Missing Runtime for Long-Running AI Agents
Enterprise AI agents need more than stronger models. They need durable execution environments that can coordinate multi-step workflows, survive failures, pause for human review and resume reliably after disconnects or delays. AI Agents Have Moved Beyond Chat Demos AI agents work beautifully in demos. A user asks a question, a large language model generates a […]
The AI Agent Race Is On. But Are We Watching the Right Race?
Claude Code, OpenAI Codex, GitHub Copilot, Cursor and a growing field of challengers are competing to define the future of software development. A new Techstrong special report examines who is ahead, how the race should be measured and what enterprises need to consider before placing their bets. Which AI coding agent is winning? It sounds […]
The Agent Proposes, the Pipeline Disposes: Controls for AI-Authored Change
When agents write code and open pull requests faster than humans can read them, ‘the diff looked fine’ stops being a control. The durable controls live outside the agent’s reasoning loop.
Software Deployment Strategies for Enterprise Teams: A Scenario-Based Guide to Choosing the Right Approach
Choosing the right software deployment strategy depends on the scenario. Get a practical decision framework for enterprise teams.
JetBrains Open-Sources KotlinLLM, a Research Prototype for Runtime Code Generation
JetBrains open-sources KotlinLLM, letting compiled Kotlin apps generate and persist LLM-written code at runtime instead of calling a model live.
CISA’s 2026 SBOM Guidance Adds Hash Requirements and AI Coverage
CISA’s updated 2026 SBOM minimum elements expand software transparency requirements to AI, SaaS and open source while adding hashes, licenses and stronger validation.
CodePen 2.0 Turns a Design Playground Into a Real Deployment Tool
CodePen 2.0 transforms the front-end playground into a file-based development platform with collaboration, version history and one-click deployment.
AI Agents Are Writing Your Infrastructure Code. Is Anyone Governing It?
AI agents now generate infrastructure code at scale, but security pass rates are stuck at 55%. Here’s how teams can close the governance gap.
From Reactive Monitoring to AI-Driven Operational Intelligence
Traditional monitoring often meant chasing alerts and toggling between dashboards after an issue had already impacted users. AWS CloudWatch — long the backbone of metrics, logs and traces on AWS — is evolving past that reactive paradigm. The latest CloudWatch capabilities infuse AI-driven operational intelligence into observability, helping engineers surface issues before they escalate and […]
AI Moved the Bottleneck From Writing Code to Understanding and Trusting It
AI coding boosts velocity, but without stronger review, governance and codebase visibility, teams risk higher costs, security gaps and production failures. TL;DR
SpaceXAI’s Grok 4.5 Undercuts Anthropic and OpenAI on Coding Agent Pricing
SpaceXAI’s Grok 4.5 undercuts Opus 4.8 on price, matching it on key coding benchmarks, and adds new safeguards against cybersecurity risks.
How to Build a DevSecOps CI/CD Pipeline on Azure With GitHub Actions
Fix security problems when they’re cheap to fix, which is before the code is deployed. A pipeline that enforces this automatically is what makes that principle real.
Shadow Mode Continuous Integration: The Missing Test Layer for AI Agents
Autonomous agents require CI/CD pipelines that evaluate behavior, not just artifacts. Containerized shadow mode gives platform teams a practical control point: Run the agent in an isolated Docker environment, replay realistic workflows, capture structured traces and evaluate behavior against statistical and policy baselines.
From Alerts to Intelligence: Building a Production Self-Healing System for Port-Down Failures
Big, distributed computing systems seldom have visible failures. Most of them start without any bang, frequently with a health-check disconnection, a failed TCP connection or a service port that is no longer listening. Such signals are not too big when considered in isolation. However, in the scenario where systems are running with several hundreds of […]
Self-Healing Infrastructure With Cognitive Automation: How LLMs and Ansible Transform Middleware Reliability
Infrastructure reliability has always been central to enterprise success, yet traditional automation methods often fall short in handling complex, dynamic environments. With the rise of large language models (LLMs), a new paradigm of cognitive automation is emerging — where intelligent agents help infrastructure not only detect failures but also recommend or implement remediations in real-time. […]
Building CI/CD Pipelines for On-Prem Azure DevOps: What the Cloud Docs Don’t Tell You
The engineering that makes on-prem CI/CD reliable is invisible when it works. When it does not work, the failures are subtle and the documentation is thin.
Why AI-Driven Devops is Exposing the Limits of Traditional Toolchains and What Comes Next for Engineering Teams in 2026
The future belongs to adaptive systems that can learn, adjust and self-correct in real-time. Teams that invest in observability, modularity and AI-aware governance today will be positioned to thrive in this new operational reality.
The Next DevOps Bottleneck: When AI Generates More Software Than Organizations Can Manage
The organizations that benefit most from AI will probably not be the ones generating the largest amount of code. They will be the ones who build systems capable of managing software at scale.
Your AI Testing Framework Might Be Passing Tests It Should Be Failing
Engineering teams are not evaluating whether AI belongs in their testing workflows anymore, but are discovering, sometimes painfully, that the architectural decisions they made when integrating it are the ones that will determine whether it improves their release confidence or quietly erodes it.
How AI Is Transforming DevOps and Cloud Engineering
While AI is often associated with chatbots or generative models, one of its most significant impacts is happening behind the scenes — within DevOps and cloud engineering.
Shift-Left Performance Testing in CI/CD: A Practical LoadRunner Framework
CI/CD pipelines speed up software delivery, but performance testing is often delayed, resulting in late feedback and costly fixes. Many teams run tests earlier but fail to enforce performance as a deployment gate.
Microsoft Brings the Azure SDK for Rust to General Availability
Microsoft has moved the Azure SDK for Rust out of beta and into general availability, giving Rust developers a stable, production-ready way to connect to core Azure services. The release covers Core, Identity, Key Vault (Secrets, Keys, and Certificates), and Storage (Blobs and Queues), built around the same design patterns already used in the .NET, Java, JavaScript, Python, Go, and C++ SDKs.
You Cannot Fake Flow: What Organizations Get Wrong About Value Delivery
Most organizations that have invested heavily in Agile and DevOps share a puzzling experience. Deployment frequency is up. Teams are busy. Dashboards are green. And yet value still queues. Strategy still takes months to reach the customer. Feedback still arrives too late to change anything important. Flow coach Marnus Marx has a name for this […]
Showing the 24 most recent articles. Additional archive pages are not yet available.