Tag: software delivery
GitHub’s August Outages Show Growth Is Outpacing Infrastructure
Tom Smith | | AI coding agents, capacity planning, CI/CD, cloud infrastructure, developer infrastructure, developer productivity, devops, distributed systems, github, GitHub Actions, GitHub Copilot, GitHub outages, incident response, platform engineering, platform reliability, production resilience, retry storms, service availability, software delivery, Software Supply ChainGitHub's August 2026 report details five outages tied to Actions and Copilot growth outpacing infrastructure. Here's what platform teams should know ...
Test Creation Was Never the Bottleneck
Something specific happened to software delivery in the past two years. The 2026 survey data is unusually clear about what it was. Sonar's 2026 State of Code Developer Survey found that AI-generated ...
AI Has Turned Verification Into the New DevOps Bottleneck
Alan Shimel | | AI agents, AI code generation, AI code review, AI coding, AI evaluation, AI in DevOps, CI/CD, continuous delivery, developer experience, developer productivity, devops, devops automation, platform engineering, pull requests, Release engineering, software delivery, software pipelines, The Great UnificationThe next DevOps challenge is not generating more software. It is proving, quickly and repeatedly, that a growing volume of machine-generated change is fit to ship ...
From the Horse’s Mouth: Anthropic Says AI Has Changed the SDLC
Alan Shimel | | agentic development, AI code review, AI coding agents, AI Governance, AI-assisted development, AI-native SDLC, Anthropic, autonomous agents, CI/CD, Claude Code, Code Generation, developer productivity, devops, internal developer platforms, platform engineering, software delivery, software development lifecycle, software engineering, software security, software testingAnthropic’s AI-native SDLC playbook argues that faster coding is shifting the bottleneck to planning, testing, governance, deployment and operations ...
CI/CD for AI-Enabled Applications: Why Traditional Deployment Pipelines Need to Evolve
Prem Kumar Gadhanki | | artificial intelligence, CI/CD, continuous delivery, devops, MLOps, software deliveryTraditional 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 ...
Is Your New DevSecOps Tooling Reducing Work Or Just Adding to It?
Yogesh Tatwal | | CI/CD, devsecops, SAST, Security scanning, software delivery, Software Supply ChainSecurity 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 ...
How Test Management Tools Give Engineering Teams the Visibility They Need to Ship With Confidence
Sancharini Panda | | API testing, Automated testing, change-aware testing, CI/CD, code coverage, coverage visibility, deployment confidence, deployment risk, DevOps Testing, engineering teams, flaky tests, Keploy, Quality Assurance, regression testing, software delivery, software testing, test case currency, test case management, test coverage, test coverage gaps, test management tools, test traceabilityTest management tools do more than track results. Learn how they give engineering teams the coverage visibility needed to ship with confidence ...
The Anatomy of a $900,000 Validation Bill
A 50-developer team shipping at an agentic pace will spend roughly $900,000 this year on AI and developer tooling costs. Most of the engineering leaders I've talked to saw the compute costs ...
AI Moved the Bottleneck From Writing Code to Understanding and Trusting It
Ted Julian | | AI code generation, AI code security, AI coding tools, AI investment ROI, AI-generated code, application security, automated code review, code quality, code review, codebase visibility, compliance, dependency risk, developer productivity, devsecops, Engineering leadership, engineering metrics, engineering ROI, production incidents, pull request review, SCA, software composition analysis, software delivery, software development productivity, software governance, technical debtAI coding boosts velocity, but without stronger review, governance and codebase visibility, teams risk higher costs, security gaps and production failures. TL;DR ...
Platform Engineering vs. DevOps: Why This Is the Wrong Question
DevOps has done what it was supposed to do. It broke down the wall between development and operations, it made continuous delivery a normal expectation, it made shared ownership of production a ...
AI Is Accelerating DevOps, Poor Integrations Are Slowing It Down
As AI speeds up software delivery, the real bottleneck isn't scanning or CI. It's how safely and predictably change moves across tools, teams, and companies. Something strange is happening in DevOps right ...
AI Agents in CI/CD Pipelines: Speed vs Control in Modern DevOps
The moment you push your code, deployment fires off on its own. The pipeline kicks in, the tests sail through, and within a few minutes your app is live in production. There ...
