Tag: developer productivity
The Coding Assistant Bottleneck: Applying the 3-Ways
Eric Minick | | AI coding assistant, AI in CI/CD, CI/CD, developer productivity, devops, lifecycle managementAI coding assistants are the talk of the town, and for good reason. Tools that can turn a comment into a function or autocomplete entire classes are genuinely changing the developer experience ...
Vibe Coding: The Double-Edged Sword in Modern Software Development
Doug Ennis | | CI/CD, developer productivity, devsecops, technology trends, vibe coding, vibe coding risksIn the fast-paced world of software development, new methodologies and trends emerge constantly. One method gaining traction, particularly among younger developers, is vibe coding. While it promises increased productivity and a more ...
Observe Adds Two AI Agents to Improve Observability
Mike Vizard | | AI debugging, AI in DevOps, AI observability, AI SRE Agent, AIOps, code instrumentation, developer productivity, devops automation, incident triage, MCP Server, Model Context Protocol, observability platform, OpenAI Codex, OpenTelemetry, SRE automation, Telemetry dataObserve Inc. introduces the AI SRE Agent and o11y.ai Agent to its observability platform—empowering DevOps teams to automate incident triage, generate OpenTelemetry code, and query application performance using natural language for faster, ...
How AI Code Assistants Can Save 1,000 Years of Developer Time
Dr. Michael Kwok | | AI code generation, AI coding assistants, AI development tools, AI for developers, AI in software development, AI pair programming, AI-assisted programming, automation in coding, code quality, coding automation, developer efficiency, developer productivity, generative AI tools, innovation in DevOps, software modernization, time savingsAI code assistants like GitHub Copilot and IBM watsonx Code Assistant are transforming software development—automating routine tasks, improving code quality, and saving developers up to 200 hours a year. The result: faster ...
The Silent Technical Debt: Why Manual Remediation Is Costing You More Than You Think
Bob Shaker | | ActiveState report, continuous remediation, cybersecurity efficiency, Dependency Management, developer productivity, devsecops, engineering performance, innovation tax, intelligent remediation, KubeCon 2025, manual remediation, Mean Time to Remediate, mttr, open source security, remediation debt, security automation, software vulnerabilities, technical debt, transitive dependencies, vulnerability managementManual vulnerability remediation drains time, innovation, and security. Learn how intelligent remediation eliminates hidden technical debt and accelerates DevSecOps ...
How Software Engineers and Students Use AI to Move Faster than Ever (Without Breaking Things)
Vivek Vaidya | | agentic AI, AI adoption, AI and students, AI coding tools, AI collaboration, AI engineers, AI evolution, AI in education, AI in software development, AI in universities, AI innovation, AI revolution, AI skills, AI skills gap, AI startups, AI Tools for Developers, AI transformation, AI workforce adaptation, AI-native companies, AI-native design, AI-native learning, AI-powered development, AI/ML, artificial intelligence, augmented development, augmented intelligence, Cursor, developer productivity, digital transformation, Enterprise AI, future of work, human-AI collaboration, LLMs, machine learning, super{set}, VC investment in AIWe’re living through the AI revolution — or more accurately, the age of augmented intelligence. From agentic AI tools transforming software development to AI-native education shaping the next generation, super{set} explores how ...
When Metrics Overwhelm: How SREs Help Engineers Reclaim Focus
Neel Shah | | alert fatigue, contextual logging, developer experience, developer productivity, devops, DevOps transformation, Distributed Tracing, engineering efficiency, incident response, metrics and logs, observability, observability tooling, root cause analysis, site reliability engineering, software reliability, SRE, system resilience, war room cultureObservability promised insight but delivered alert fatigue. Learn how SREs are redefining observability to empower developers and restore real engineering value ...
How to Eliminate DevOps Toil Using Automation Scripts
Durojaye Olusegun | | 15-minute rule, ansible, automation best practices, automation documentation, automation framework, automation ROI, automation scripts, automation testing, automation validation, CI/CD optimization, developer productivity, DevOps efficiency, DevOps maintenance, DevOps time savings, devops toil, DevOps workflows, eliminate toil, engineering automation, engineering productivity, fail-safe scripts, idempotent scripts, infrastructure automation, manual task reduction, observability in scripts, orchestration vs scripting, reduce manual DevOps work, repetitive task automation, script automation, TerraformEngineering teams spend nearly 15 hours a week on repetitive DevOps toils that drain productivity. This guide explains how to identify high-impact automation opportunities, apply the 15-minute rule, and build sustainable script-based ...
Coding Agent Teams: The Next Frontier in AI-Assisted Software Development
Derek Ashmore | | agent-based programming, agentic AI, AI code generation, AI coding agents, AI developer tools, AI development frameworks, AI DevOps, AI in software engineering, AI pair programming, AI programming teams, AI-assisted software development, AutoGen, autonomous coding agents, Claudeflow, coding agent frameworks, coding automation, collaborative AI agents, CrewAI, developer productivity, generative AI for developers, intelligent coding assistants, MetaGPT, multi-agent AI teams, multi-agent orchestration, OpenCode, software development automationDevelopers are moving beyond single AI coding assistants to teams of specialized agents, boosting speed, scalability, and collaboration in software development ...
DORA 2025: Faster, But Are We Any Better?
Alan Shimel | | AI-assisted software development, amplification, culture & practices, developer productivity, DORA research, organizational systems, research report, strategic AI investmentThe 2025 DORA Report — The State of AI-assisted Software Development by DORA / Google Cloud — introduces the DORA AI Capabilities Model, arguing that AI functions best as an amplifier of ...
GitHub MCP Registry Launches as Central Hub for AI Development Tools
Tom Smith | | AI agent integrations, AI-assisted development, AI-powered workflows, developer productivity, MCP servers, Model Context Protocol, open-source MCP ecosystem, registry for MCP, workflow automationGitHub launches the MCP Registry, a centralized hub for discovering and deploying Model Context Protocol servers. Backed by partners like Figma, Postman, HashiCorp, and Dynatrace, the registry simplifies integration, boosts security, and ...
CodeRabbit Adds CLI Support to Code Review Platform Based on AI
Mike Vizard | | AI code review, AI coding tools, AI in DevOps, AI trust layer, CLI support, code dependencies, code graph analysis, custom pre-merge checks, developer productivity, DevOps workflows, Git repositories, MCP client, Model Context Protocol, open source code review, secure code review, software quality, unit test generationCodeRabbit expands its AI-powered code review platform with CLI support, auto unit test generation, custom pre-merge checks, and an MCP client. Backed by $60M in new funding, CodeRabbit helps developers catch routine ...
