惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

大猫的无限游戏
大猫的无限游戏
S
SegmentFault 最新的问题
量子位
A
Arctic Wolf
L
Lohrmann on Cybersecurity
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
WordPress大学
WordPress大学
V
Vulnerabilities – Threatpost
博客园 - Franky
C
Cyber Attacks, Cyber Crime and Cyber Security
The Cloudflare Blog
Last Week in AI
Last Week in AI
The Hacker News
The Hacker News
I
Intezer
J
Java Code Geeks
P
Privacy International News Feed
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
S
Secure Thoughts
Cisco Talos Blog
Cisco Talos Blog
阮一峰的网络日志
阮一峰的网络日志
S
Securelist
Security Latest
Security Latest
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
小众软件
小众软件
Jina AI
Jina AI
有赞技术团队
有赞技术团队
人人都是产品经理
人人都是产品经理
博客园_首页
酷 壳 – CoolShell
酷 壳 – CoolShell
T
The Exploit Database - CXSecurity.com
雷峰网
雷峰网
T
Tenable Blog
www.infosecurity-magazine.com
www.infosecurity-magazine.com
P
Privacy & Cybersecurity Law Blog
Simon Willison's Weblog
Simon Willison's Weblog
博客园 - 【当耐特】
T
Threat Research - Cisco Blogs
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
MongoDB | Blog
MongoDB | Blog
D
DataBreaches.Net
N
News | PayPal Newsroom
Google Online Security Blog
Google Online Security Blog
K
Kaspersky official blog
H
Help Net Security
宝玉的分享
宝玉的分享
罗磊的独立博客
Webroot Blog
Webroot Blog
月光博客
月光博客
B
Blog RSS Feed
Recorded Future
Recorded Future

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
Agile, Scrum, and Azure Boards: The Theory Behind the Tool
Emmanuel Chukwudi · 2026-06-18 · via DEV Community

Most of us land in Azure Boards, Jira, or Trello before we ever read the Agile Manifesto. We learn to drag cards across columns and fill in story points because that's what the team does not because we understand why the framework is shaped that way. This post works backward: starting from the theory (Agile, Scrum, Sprints, Backlogs) and ending at how Azure Boards actually implements it, so the tool stops feeling like a checkbox exercise and starts making sense as a system.

What Agile Actually Is

Agile isn't a process it's a set of values for how software gets built. The Agile Manifesto (2001) boils down to four preferences:

  • Individuals and interactions over rigid processes and tools
  • Working software over comprehensive documentation
  • Customer collaboration over fixed contracts
  • Responding to change over following a fixed plan

None of that says "use two-week sprints" or "hold a daily standup." Those are implementation details that came later, baked into specific frameworks. Agile itself is just the philosophy: build in small increments, get feedback constantly, and stay willing to change direction. Scrum, Kanban, and XP are different ways of operationalizing that philosophy Scrum is just the one that became the default in most companies, including the one Azure Boards is modeled around.

Scrum: Roles, Events, Artifacts

Scrum structures Agile into a repeatable rhythm built from three categories.

Roles

  • Product Owner owns the backlog, decides what gets built and in what order, represents the business/customer side.
  • Scrum Master owns the process, not the product. Removes blockers, protects the team from scope creep mid-sprint, facilitates the events below.
  • Development Team the engineers actually building the thing. Cross-functional and self-organizing; nobody outside the team assigns individual tasks.

Events

  • Sprint Planning: the team pulls items from the product backlog into the sprint backlog and commits to a sprint goal.
  • Daily Scrum (Standup): a short daily sync, traditionally answering: what did I do, what will I do, what's blocking me.
  • Sprint Review: a demo of what was actually completed, shown to stakeholders, at the end of the sprint.
  • Sprint Retrospective: the team reflects on how the sprint went and agrees on one or two process improvements for next time.

Artifacts

  • Product Backlog: the full, ever-evolving list of everything that might get built, ranked by priority.
  • Sprint Backlog: the slice of that list the team has committed to for the current sprint.
  • Increment: the actual working, shippable output of the sprint.

What a Sprint Actually Is

A Sprint is a fixed-length time box usually one, two, or four weeks, and it doesn't change once a team picks a length. Inside that window the team plans, builds, and reviews one slice of work toward a sprint goal. The fixed length is the point: it forces scope to flex around time instead of time flexing around scope, which is what keeps a project from quietly sliding into "we'll ship it when it's done."

Backlogs: Product vs. Sprint

These two get conflated constantly, so it's worth being precise.

The Product Backlog is the master list every feature, bug fix, and technical debt item the team might ever do, ranked roughly by priority. It's never "finished"; it's a living document that the Product Owner continuously reorders as priorities shift.

The Sprint Backlog is a temporary, much smaller subset: the items pulled out of the product backlog during sprint planning that the team has actually committed to delivering in the current sprint. Once a sprint starts, the sprint backlog is meant to stay stable; new work doesn't get added mid-sprint just because it seems urgent (that's actually one of the more common ways teams sabotage their own velocity).

Where Azure Boards Fits In

Azure Boards is Microsoft's implementation of all of the above, and once you know the theory, the tool stops feeling arbitrary.

The work item hierarchy mirrors how Agile thinking breaks down scope:

Epic        → large business objective, spans months/quarters
  Feature   → a shippable slice of that objective
    Story   → a single piece of user-facing value (or a Bug, same level)
      Task  → the technical steps an engineer actually executes

A concrete example from a typical DevOps backlog: an Epic like "Migrate to GitOps delivery," a Feature underneath it like "Integrate ArgoCD with AKS," a Story like "As a DevOps engineer, I want ArgoCD to auto-sync manifest changes," and Tasks like "Install ArgoCD via Helm" or "Configure the Application CRD."

Sprint backlog in Azure Boards is the practical manifestation of the Scrum artifact: stories get pulled into the current sprint, estimated in story points, and broken into tasks with hour estimates. The Capacity tab compares planned hours against each person's actual availability, and the Taskboard lets the team drag tasks across To Do → In Progress → Done daily — which is what generates the Burndown chart, a declining line tracking remaining work against the sprint timeline.

Velocity is the historical record of completed story points per sprint, shown as a bar chart over recent sprints. It exists purely for forecasting if a team averages 30 points a sprint, that becomes a sane ceiling for planning the next one. It's a trailing indicator of real throughput, not a target to optimize; teams that start inflating point estimates to chase a "better" velocity number just make the number meaningless.

Kanban boards with WIP limits are Azure Boards' answer to continuous flow rather than time-boxed sprints. Columns represent actual process states (Backlog → Dev → Code Review → Testing → Done), and a WIP limit caps how many items can sit in a column at once. Hit the limit, and the team has to clear existing work before pulling anything new which is the entire mechanism that turns a Kanban board into a flow-management tool instead of a glorified to-do list. The Cumulative Flow Diagram stacks item counts per state over time, making bottlenecks visible as a widening band before anyone has to notice manually.

Scrum vs. Kanban, in One Line

Scrum optimizes for predictable, time-boxed delivery with a fixed commitment per cycle. Kanban optimizes for continuous flow with no fixed cycle, using WIP limits instead of sprints to control pace. Azure Boards doesn't force a choice most real teams run sprints for planning cadence and a Kanban board for the daily execution view of that same backlog.

Takeaway

The tool only makes sense once you see it as a direct implementation of the theory: Agile sets the values, Scrum operationalizes them into roles/events/artifacts, the Sprint is the time box that everything else hangs off of, and the Backlog is the prioritized list that feeds it. Azure Boards just gives all of that a UI Epics and Features for scope, Sprint Backlogs and Capacity views for commitment, Velocity for forecasting, and Kanban WIP limits for flow control.