Tag: developer productivity
Five Technology Shifts In: Why the Hype Curve Lies in Both Directions
Jim Grunder | | AI adoption, AI tools, developer productivity, Engineering leadership, software developmentI've lived through five major technology shifts: mainframe to Windows in the early ‘90s, internet computing in the late ‘90s and early 2000s, Agile in the mid-2000s, cloud through the 2010s, and ...
Flowtopia Live 2026: Engineering the Frictionfree Enterprise
Helen Beal | | ai, developer productivity, flow engineering, lean management, value stream management, value streamsIf your goals are accelerating flow and maximizing value in your organization, consider grabbing yourself a ticket to this year’s Flowtopia Live on Wednesday, June 24th. Flowtopia is a community of value ...
Documentation is Dead. Long Live Documentation.
Avi Cavale | | AI tools, developer productivity, documentation, engineering culture, knowledge managementWhy traditional documentation fails and how capturing knowledge during work creates a living, scalable system of record ...
Lightrun: IT is in the Dark Over Coding Assistant Runtime Visibility
Adrian Bridgwater | | AI coding assistants, AI-generated code, AI-Powered Engineering, AI-SRE Tools, Application Performance Management (APM), automated remediation, Autonomous Engineering, developer productivity, Lightrun, Manual Debugging, Memory Usage, Observability Stacks, platform engineering, Production Failures, Real-Time Data, Redeploy Cycles, root cause analysis, Runtime Visibility, Site Reliability Engineering (SRE), software reliability, State of AI-Powered Engineering Report 2026, Static Code Generation, System Behavior, tribal knowledge, Variable States, Verification BottleneckSoftware runs, but sometimes it doesn’t… and that’s often down to a lack of runtime visibility in relation to platform engineering teams being able to trust coding assistants and AI-powered site reliability ...
AI Won’t Replace Developers—But it is Changing How They Work
Manoj M Chambarge | | AI coding tools, AI-assisted coding, developer productivity, GitHub Copilot, software developmentAI is reshaping software development by accelerating coding, testing and reviews while reinforcing the need for human judgment and oversight ...
When Code Becomes Cheap, Engineering Becomes Governance
Alan Shimel | | AI code generation, AI-assisted development, apprenticeship, architecture, code governance, code oversight, democratization of coding, developer productivity, developer supervision, end of programming myth, governance era, industrialized programming, integration risk, maintainability, operations, security risk, software reliability, systems thinking, technical debt, validationAI agents can now generate in minutes what once took teams weeks, but the real shift is not faster coding. It is the collapse of code scarcity. As software production becomes industrialized, ...
Gemini Code Assist Gets Agent Auto-Approve, Inline Diffs, and Custom Commands to Speed Up the Core Coding Loop
Tom Smith | | Agent Mode, AI coding agents, AI-assisted development, Auto Approve, code review, Context Drawer, custom commands, developer productivity, devops, Finish Changes, Gemini Code Assist, Google Gemini, inline diff, IntelliJ, Outlines, software lifecycle, VS CodeGoogle’s latest Gemini Code Assist updates focus on workflow, not hype: Agent Mode with Auto Approve, inline diffs, a Context Drawer, custom commands, Finish Changes, and Outlines streamline how developers review, trust, ...
Anthropic Code Review Dispatches Agent Teams to Catch the Bugs That Skim Reads Miss
Tom Smith | | AI code review, AI coding agents, Anthropic Code Review, Claude Code, Code Review Automation, developer productivity, devops, Engineering Velocity, GitHub integration, Logical Bug Detection, multi-agent systems, Pull Request Automation, secure software development, software quality, software reliabilityAnthropic Code Review dispatches agent teams to find bugs in PRs. Multi-agent analysis, severity ranking, and inline fixes for Teams and Enterprise ...
Postman Adds Ability to Invoke API Code From Within Git Workflows
Mike Vizard | | AI agents, AI integration, API catalog, API management, API specifications, automation, code visibility, developer productivity, developer tools, Git repositories, IT environment, rogue APIs, software engineering, State of the API Report, workflow efficiencyDiscover how Postman’s new feature allows software engineering teams to manage API specifications, collections, and environments directly from Git repositories, simplifying workflows for AI agents in the development process ...
Survey: Java Developers Wrestling With Massive Amounts of Technical Debt
Mike Vizard | | AI coding tools, AI functionality, artificial intelligence, cloud computing costs, Common Vulnerability and Exposure (CVE), cost-driven migration, dead code, developer productivity, Java applications, Java developers, Java versions, Java Virtual Machine (JVM), language model integration., large data access, long-term support, migration to OpenJDK, observability, OpenJDK, Oracle pricing concerns, security features, technical debt, vulnerabilitiesA global survey of 2,039 Java developers published today finds 63% reporting that dead and unused code adversely affects their team’s productivity, with 22% describing the impact of that technical debt as ...
Open-Source Coding Agents Just Got Accessible
Tom Smith | | AI code generation, Ai2, coding agents, developer productivity, fine-tuning LLMs, NVIDIA Hopper GPUs, open-source AI, repository-aware AI, SERA coding agents, SWE-Bench VerifiedAi2’s open-source SERA coding agents slash the cost of training repository-aware AI, enabling teams to customize high-performance coding agents on private codebases for as little as $400 ...
Best of 2025: How AI Agents are Reshaping the Developer Experience
AI agents are helping to shift developers' focus from long hours of manual coding to high-value problem-solving, architecture and decision-making processes. ...
