Tag: developer productivity
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 ...
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 ...
Open Source Mod Brings Rate Limits, Costs and CI Status Into View for Claude Code Users
Tom Smith | | agentic AI, AI coding agents, AI costs, AI Governance, AI observability, Anji Xu, CI/CD, Claude Code, Claude Statuspane, context windows, developer productivity, developer tools, devops, GitHub Actions, platform engineering, token usageClaude Statuspane gives developers real-time visibility into Claude Code context use, rate limits, costs and CI status, highlighting a growing need for agent observability ...
DevOps Dozen 2026 Nominations Are Open: Recognizing the People and Technology Moving DevOps Forward
Alan Shimel | | agentic AI, AgentOps, AI software development, CI/CD, developer productivity, DevOps 2026, DevOps awards, devops dozen, DevOps Dozen Awards, devsecops, FinOps, internal developer platforms, LLMOps, MLOps, observability, open source, platform engineering, software delivery, Software Supply Chain SecurityWhen we launched the DevOps Dozen in 2015, we wanted to recognize the people, projects and companies helping this community move forward. We saw the work happening across DevOps every day at ...
Splunk Open Sources Token Meter Tool for Application Developers
Mike Vizard | | agent monitoring, agentic AI, AI budgets, AI coding agents, AI cost management, AI costs, AI Development, AI FinOps, AI observability, Claude Code, Codex, coding assistants, Cursor, developer productivity, developer tools, devops, Kiro, MCP, Model Context Protocol, model costs, OpenCode, Pi, Splunk, token consumption, Token Meter, token usageSplunk’s open-source Token Meter gives developers real-time visibility into AI coding agent activity, token consumption and estimated costs across tools including Claude Code, Codex and Cursor ...
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 ...
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 ...
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 ...
GitHub Puts Copilot in the Approval Seat for Pull Requests
Tom Smith | | AI code review, AI coding, AI Governance, automated code review, branch protection, code review, Copilot code review, developer productivity, developer tools, devops, Engineering Governance, github, GitHub approvals, GitHub Copilot, PR approvals, pull requests, software development, software lifecycleGitHub Copilot can now submit binding pull request approvals, moving AI code review from advisory feedback into the merge decision itself ...
Debian’s AI Vote Bets on Accountability Instead of a Ban
Tom Smith | | AI coding, AI Governance, AI policy, AI-assisted development, AI-generated code, code review, confidential data, Debian, developer productivity, devops, generative AI, Human Oversight, open source, software development, software securityDebian’s new AI contribution policy avoids bans and mandatory disclosure, instead making developers responsible for reviewing AI-generated work and protecting sensitive data ...
