Observe Adds Two AI Agents to Improve Observability
Observe 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, smarter debugging.
How AI Code Assistants Can Save 1,000 Years of Developer Time
AI 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 delivery, higher innovation, and a real competitive edge.
The Silent Technical Debt: Why Manual Remediation Is Costing You More Than You Think
Manual 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)
We’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 developers, students, and businesses can harness AI to amplify human potential and innovation.
When Metrics Overwhelm: How SREs Help Engineers Reclaim Focus
Observability 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
Engineering 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 solutions that eliminate toil and free teams for innovation.
Coding Agent Teams: The Next Frontier in AI-Assisted Software Development
Developers 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?
The 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 existing organizational strengths and weaknesses rather than as a silver-bullet tool.
GitHub MCP Registry Launches as Central Hub for AI Development Tools
GitHub 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 accelerates AI-powered development workflows.
CodeRabbit Adds CLI Support to Code Review Platform Based on AI
CodeRabbit 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 issues, improve test coverage, and secure AI-generated code at scale.
AI: Do or Don’t Believe the Hype
If you’ve been anywhere near a tech conference, your LinkedIn feed, or a DevOps Slack channel lately, you’ve probably heard someone claim AI is either the greatest productivity weapon since version control… or the world’s most overhyped autocomplete. Depending on who’s talking, AI is either saving the day or slowing workflow to a crawl. As […]
Efficient CI at Scale: Lessons From Uber
As commit velocity increases and the number of active contributors grows, monorepos also introduce significant CI challenges — such as an ever-growing queue of pending changes, frequent conflicts, long land times and the critical need to keep the mainline green.
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.
Survey Pinpoints Inhibitors of Java Developer Productivity
A survey of 731 developers, team leads, managers and executives who work with Java pinpoints inhibitors of Java developer productivity.
Survey: Increased Tool Sprawl Saps Developer Productivity
A survey of 300 IT professionals working in software engineering departments in the U.S. and Western Europe that have more than 150 developers, finds 75% are losing anywhere from six to 15 hours a week because of tool sprawl as respondents on average navigate 7.4 tools to build applications.
Scaleups are Turning to Low Code to Build Modern Internal App Ecosystems
Exploring how engineering leaders are adopting low code to reshape the development of internal tools and drive operational excellence.
How CIOs can Implement and Execute an Effective AI Coding Strategy
With software more critical than ever to overall business success, organizations need to implement the right risk management strategy to adopt innovation and positively impact productivity through AI while maintaining safety and security.
Improving the Developer Experience by Deploying CI/CD in Databases
How can developers use CI/CD to improve their database software deployment process, and where should they begin?
The State of Internal Developer Portals (IDPs)
Have internal developer portals (IDPs) successfully enhanced productivity without sacrificing developer experience or developer satisfaction?
Can Unlocking Joy Unlock Developer Productivity?
Spoiler alert: Unlocking joy can, in fact, boost developer productivity, as Atlassian CTO Rajeev Rajan explains.
The Benefits of Self-Service Infrastructure
Self-service infrastructure offers numerous advantages that help businesses become more efficient and agile.
5 Reasons DevOps Teams Need Code Mapping
Just like a physical map gives you a bird’s eye view of a geographical area, code mapping gives you a high-level view of your code.
How to Get Developer Productivity Engineering Right
Executives want a clear measurement of developer productivity, but determining it is proving elusive.