Tag: software engineering
Coding Agents Broke Git’s Scaling Math. GitHub Is Rebuilding to Keep Up
Tom Smith | | agentic AI, AI coding agents, automation, Azure Blob Storage, CI/CD, code review, developer productivity, devops, GIT, Git Infrastructure, github, GitHub Actions, platform engineering, Repository Scaling, software development, software engineering, Trunk-Based DevelopmentGitHub is rebuilding its Git infrastructure as AI coding agents drive billions of commits, promising up to 35x faster writes while exposing new DevOps bottlenecks ...
DevOps Has Always Been Hard to Define. Does a Standard Help?
Alan Shimel | | agentic AI, AI agents, AI Governance, automation, CI/CD, devops, DevOps governance, devops institute, devops maturity, DevOps practices, DevOps standard, DORA, ITIL 5, observability, OWASP agentic AI, PEOPLECERT, platform engineering, software delivery, software engineeringThe new DevOps Standard deserves a serious reading. Its lasting value will depend on whether it helps organizations apply shared principles as people and agents take on different responsibilities ...
Taste, Discernment, and Judgment Have Become Must-Have Engineering Skills
Gautam Korlam | | AI code review, AI coding agents, AI-generated code, autonomous coding, autonomous merge, CI/CD, code quality, code review, deterministic systems, developer productivity, devops, engineering judgment, engineering standards, human judgment, pull requests, quality gates, software architecture, software engineering, software governance, technical debtAI coding agents make code generation cheap, shifting engineering value toward standards, deterministic quality gates, contextual review and human judgment about what should ship ...
IT Outsourcing Versus In-House Development
Sambhav Aggarwal | | AI-assisted development, cloud infrastructure, Cybersecurity, developer productivity, devops, DevOps outsourcing, digital transformation, engineering costs, engineering strategy, engineering teams, global talent, hybrid teams, in-house development, IT outsourcing, product development, QA outsourcing, scalable development, software delivery, software development, software engineering, software outsourcing, software partners, technical talent, time to marketThe debate isn't new — but the stakes are. In 2026, the gap between companies that get this decision right and those that don't is measured in product cycles, burn rate, and ...
Anthropic Adds a Coordinator to Claude Projects for Running AI Work in Parallel
Tom Smith | | agentic AI, AI agents, AI coding agents, AI Development, AI project management, AI workflows, Anthropic, autonomous coding, Claude Code, Claude Projects, cloud development, code review, coding automation, developer productivity, developer tools, devops, Git branches, human-in-the-loop, multi-agent orchestration, parallel development, platform engineering, pull requests, software development, software engineeringAnthropic’s redesigned Claude Projects coordinates parallel Claude Code sessions, delegates work across branches and brings the results back through familiar pull-request review workflows ...
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 ...
Developer Resistance to AI Isn’t Fear – It is Identity
Lukasz Lazewski | | 1000x developer, agentic coding, AI adoption, AI agents, AI code review, AI coding tools, AI Orchestration, AI transformation, AI-assisted coding, AI-generated code, coding with AI, developer accountability, developer experience, developer identity, developer motivation, developer productivity, developer resistance to AI, developer trust in AI, developer workflow, Engineering leadership, Future of Programming, human-AI collaboration, software architecture, software developers, software engineeringDeveloper resistance to AI is less about job loss than a deeper shift from hands-on coding to supervising, validating and orchestrating AI-generated work ...
Anthropic Makes Claude Code’s Auto Mode the Default, Betting Automation Beats Manual Review
Tom Smith | | agent permissions, agentic coding, AI code generation, AI coding agents, AI Governance, AI guardrails, AI permissions, AI safety, AI security, Anthropic, autonomous coding agents, Claude Code, Claude Code auto mode, Claude Code security, coding automation, developer productivity, developer tools, human engineering the loop, human-in-the-loop, permission fatigue, prompt injection, Pull Request Automation, secure AI agents, software development, software engineeringAnthropic is making Claude Code’s auto mode the default for Pro, Max and Team users, replacing constant permission prompts with classifier-based guardrails designed to catch risky actions without slowing developers down ...
GitHub Brings Stacked Pull Requests Out of the Shadows
Tom Smith | | AI coding agents, branch protection, code quality, code review, continuous integration, developer productivity, DevOps workflows, gh-stack, GitHub Copilot, GitHub public preview, GitHub stacked pull requests, merge queues, pull request size, software engineering, Stacked PRsGitHub introduces native stacked pull requests, helping development teams break large changes into smaller, dependency-ordered PRs that are faster and easier to review ...
From AI Hype to AI Assurance: How Engineering Teams Can Safely Ship AI-Enabled Software
Olamilekan Lamidi | | AI assurance, AI Governance, AI testing, generative AI, MLOps, software engineeringAI has moved very quickly from experimentation to production. A few years ago, many organizations were still asking whether AI could improve their products or internal workflows. Today, the question is different: ...
Survey: More AI Code Running in Production Environments with Caveats
A global survey of 309 software engineering leaders, published today, finds 81% of organizations have to some degree reworked development and release processes to accommodate code generated using artificial intelligence (AI) coding ...
Newly Appointed CloudBees CEO Charts Agentic AI Engineering Course
The newly appointed CEO of CloudBees, Mo Plassnig, says that as the agentic artificial intelligence (AI) era dawns, the time has come to reinvent software engineering in a way that moves beyond ...
