From the Horse’s Mouth: Anthropic Says AI Has Changed the SDLC
Anthropic’s AI-native SDLC playbook argues that faster coding is shifting the bottleneck to planning, testing, governance, deployment and operations.
GitOps in 2026: Why Pull Requests Are Taking Over Cloud Operations
For years, cloud infrastructure changes were mostly a mystery. An engineer would log into a dashboard, tweak a setting, run a few scripts, and that was it. Nobody worried until something broke. Suddenly, everyone wanted answers. Who changed this? Was it tested? Can we fix it? How did production end up out of sync with […]
CI/CD for AI-Enabled Applications: Why Traditional Deployment Pipelines Need to Evolve
Traditional CI/CD pipelines are optimized around a familiar assumption: source code changes, automated tests validate the change, a build artifact is produced, and the application is promoted through environments. AI-enabled applications complicate that model because production behavior can change even when application code does not. A new model version, feature transformation, prompt configuration, retrieval index […]
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 […]
GitHub Sharpens CodeQL’s Eye on Actions Workflows and Modern JavaScript
GitHub Actions pipelines have become one of the quieter attack surfaces in software development. They pull in third-party actions, cache dependencies, and pass secrets between jobs, often without anyone reviewing the workflow file as closely as they’d review application code. That gap is exactly where cache-poisoning and output-clobbering attacks live, and it’s why GitHub keeps […]
Why Self-Healing Tests Need a Deployment Gate
When an end-to-end test fails after a front-end change, the repair often looks routine. A class name changed. A button moved. A selector that used to be unique now matches two elements. A self-healing system inspects the page, proposes a new locator, reruns the test, and gets a green result. That green result is useful, […]
Is Your New DevSecOps Tooling Reducing Work Or Just Adding to It?
Security belongs in the software delivery pipeline. The harder question is where, how often and at what cost. Many pipeline teams eventually add security scanning to CI/CD, and relatively few go back afterward to measure what it actually cost the delivery process. Security coverage went up. Something else changed too, and it is rarely measured […]
Treat Business Workflow Changes Like Deployments
Business automation often reaches production without the release discipline applied to application code. A routing rule changes, an approval threshold moves, or an integration starts writing to a new system. The edit may happen in a visual builder instead of a repository, but its blast radius is still real: orders can duplicate, customers can receive […]
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.
Why CI/CD Security Testing Is Going Autonomous (and Why It Should Stay Local)
Continuous integration and delivery changed the tempo of software. Teams merge dozens of times a day, infrastructure is redefined on every commit, and a new build can reach production in minutes. Security testing never caught up with that tempo. It still lives in two modes that both fight the pipeline instead of moving with it. […]
How Test Management Tools Give Engineering Teams the Visibility They Need to Ship With Confidence
Test management tools do more than track results. Learn how they give engineering teams the coverage visibility needed to ship with confidence.
The Rise of AI-Native DevOps: How AI Is Reshaping Software Delivery in 2026
For years, DevOps had a pretty straightforward mission: help teams ship reliable software faster by getting development and operations folks working together. Tools like automation, continuous integration, continuous delivery, infrastructure as code, and better observability have all been key pieces of the puzzle. But now, things are shifting again. This time, artificial intelligence is changing […]
Why Standardized Developer Environments Still Break DevOps Workflows
Standardized developer environments promise to eliminate one of software engineering’s oldest explanations: “It works on my machine.” By packaging approved runtimes, dependencies and tools into containers, virtual machines or cloud workspaces, organizations expect every developer to start from the same foundation. The approach delivers clear benefits. It reduces onboarding time, minimizes dependency conflicts and makes […]
Why Reliability Guardrails Are Needed in Every AI Coding Pipeline
We’re in the middle of a reliability reckoning. Thanks to AI, companies are shipping code much faster than before. But if there’s anything to learn from the surge in high-profile outages over the last couple of years, it’s that with more code comes more reliability risks. And when those risks do lead to an outage, […]
Sandbox Testing for API-Heavy Systems: What Changes When You Don’t Own the Dependency
Sandbox testing works well when your team controls both sides of the integration. You define the service, you define the mock, you know exactly what the sandbox should return. That setup holds up fine for internal microservices and first-party APIs. It starts to break down when you don’t own the dependency. Payment processors, identity providers, […]
RapidFort Extends Open Source Software Security Reach to Runtime Environments
RapidFort today at the Black Hat USA conference announced it has extended its ability to secure open source software to the runtimes that DevOps teams deploy in production environments. Michael Wood, chief marketing officer for RapidFort, said the RapidFort Runtime platform makes it possible to now monitor open source software deployed within a container image […]
Adoption and Fragmentation of AI in CI/CD—and Operational Readiness
In today’s enterprise software delivery environment, AI has moved from a distant possibility to an active area of experimentation across the CI/CD pipeline. The conversation around AI in software delivery often runs ahead of the underlying reality, and most organizations are still working through what it takes to operationalize AI inside delivery architectures that were […]
These are 10 CI/CD Pipeline Mistakes That Slow Down Engineering Teams
Continuous software delivery in the digital age has come to depend on CI/CD pipelines. They enable engineering teams to rapidly develop, test, and deploy code while keeping it highly usable and consistent across environments. CI/CD pipelines, however, can themselves become a source of friction as systems start at a small scale and become more complex. […]
Harness Extends DevOps Reach to the Realm of AI Agents
Harness today extended the reach of its core continuous integration/continuous delivery (CI/CD) platform to enable DevOps teams to build and deploy artificial intelligence (AI) agents. At the core of that capability are five additions to the Harness portfolio, including an AI Asset Catalog that automatically discovers every agent, skill, and plugin that exists within repositories […]
Why You Need AI Agent Security Validation in Software Testing
Engineering teams have been racing for the last two years to deploy AI agents that can find bugs faster than any QA team ever could. Autonomous testing agents can crawl through codebases, identify vulnerabilities, and generate test coverage reports while developers finally get to take a breath. The irony is that while development teams enjoy […]
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.
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.