Contributed Content
The Velocity Trap: Why Shipping Faster Is Making Systems Worse
Muhammad Yawar Malik | | engineering culture, observability, reliability, Site Reliability Engineering (SRE), software delivery, technical debtThere is a particular flavour of engineering dysfunction that looks, from the outside, like peak performance. Deployments are frequent. Sprint velocity is high. The feature backlog is shrinking. Leadership is pleased. And ...
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 ...
AIOps Isn’t Optional Anymore: What Modern DevOps Teams Must Adapt To
Michael Chukwube | | AIOps, devops automation, incident response, machine learning operations, observabilityAIOps is becoming essential for DevOps teams, enabling faster incident response, less alert noise and improved reliability at scale ...
The Vibing Continuum: How Software Will Vibe its Way Through Agentic Engineering
Nagendra Rao | | Agentic Engineering, AI agents, AI-assisted coding, Codex, Dark Software Factory, Future of Programming, Junior Engineer Training, Outcome-Focused Engineering., Replit, software development lifecycle SDLC, Technical Orchestration, vibe codingExplore the philosophical and practical shift from traditional programming to "vibe coding" and agentic engineering, where software is increasingly spoken into existence rather than written line-by-line ...
5 Facts About AI Coding Agents from Comprehensive Benchmarking
Graham Neubig | | AI coding agents, benchmarking, developer tools, Large Language Models, software developmentAI coding agents are becoming more capable, but evaluating them is harder than it looks. Most benchmarks focus on a single dimension of agent capabilities; for instance, the popular SWE-Bench benchmark only ...
The Next AI Breakthrough Isn’t Generative, It’s Agentic
Lee McClendon | | agentic AI, Agentic Testing, AI Governance, AI Orchestration, AI Productivity ROI, AI quality assurance, Autonomous Systems, business intelligence, Enterprise AI Deployment, human-in-the-loop, risk mitigation, software development lifecycle SDLC, Trustworthy Speed., Vibe Coding RiskGenerative AI first captured the world’s attention by producing content at an unprecedented speed. From lines of code and documentation to frameworks and designs, content creation is now readily available at the ...
The Code Doesn’t Care Who Wrote It: Why Context, Not AI Fear, Will Define Modern Application Security
AI has already arrived in the software development lifecycle, not as a pilot program or controlled experiment, but as an everyday reality ...
Why Contact Enrichment Belongs in Your Application Architecture, Not Your Sales Workflow
Most B2B applications collect incomplete data by design. A lead form captures a name and company. A recruiting tool surfaces a LinkedIn profile. An event registration system logs an email address and ...
How to Manage Operations in DevOps Using Modern Technology
Samuel Ogbonna | | AIOps, infrastructure as code, observability, platform engineering, site reliability engineeringHow modern DevOps teams manage operations using automation, observability, AIOps and self-service to reduce toil and improve reliability ...
AI Agents in DevOps: Hype vs. Reality in Production Pipelines
The demos look super cool! An AI agent detects a failing deployment, rolls it back, opens a GitHub issue, and notifies Slack — all before the on-call engineer has finished reading the ...
Can Claude Agents Replace DevOps Teams? A Practical Reality Check
Sannan Ali | | adaptive systems, Agentic Workflows, AIOps, automated deployments, Autonomous DevOps, Claude agents, devops evolution, human-in-the-loop, incident response automation, infrastructure as codeAre AI agents replacing DevOps engineers? Explore how tools like Claude are shifting DevOps from rigid automation to autonomous, adaptive systems, and why human judgment remains the critical link in managing system ...
From Code to Cloud: How Full-Stack Developers are Taking Over DevOps
Full-stack developers are taking on DevOps, using CI/CD, Docker and Terraform to own the software lifecycle from code to cloud ...
