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

Cisco Talos Blog
Cisco Talos Blog
量子位
小众软件
小众软件
Microsoft Azure Blog
Microsoft Azure Blog
V
Visual Studio Blog
I
InfoQ
Jina AI
Jina AI
The Cloudflare Blog
Recorded Future
Recorded Future
Recent Announcements
Recent Announcements
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
G
Google Developers Blog
Stack Overflow Blog
Stack Overflow Blog
阮一峰的网络日志
阮一峰的网络日志
Microsoft Security Blog
Microsoft Security Blog
美团技术团队
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
Martin Fowler
Martin Fowler
T
Tailwind CSS Blog
博客园 - Franky
酷 壳 – CoolShell
酷 壳 – CoolShell
F
Fortinet All Blogs
WordPress大学
WordPress大学
P
Proofpoint News Feed
D
DataBreaches.Net
爱范儿
爱范儿
雷峰网
雷峰网
D
Docker
B
Blog
Engineering at Meta
Engineering at Meta
腾讯CDC
N
Netflix TechBlog - Medium
C
Check Point Blog
博客园 - 【当耐特】
Apple Machine Learning Research
Apple Machine Learning Research
T
Tenable Blog
GbyAI
GbyAI
Security Archives - TechRepublic
Security Archives - TechRepublic
博客园 - 三生石上(FineUI控件)
T
The Blog of Author Tim Ferriss
博客园 - 聂微东
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
SecWiki News
SecWiki News
S
Security @ Cisco Blogs
S
Security Affairs
V
V2EX
Application and Cybersecurity Blog
Application and Cybersecurity Blog
云风的 BLOG
云风的 BLOG
C
CERT Recently Published Vulnerability Notes
Y
Y Combinator Blog

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
From Supervised to Independent: A Six-Month Framework for Mentoring Engineers
Kokila Hansa · 2026-05-19 · via DEV Community

This is about the specific, repeatable mechanics of taking a junior engineer and moving them in roughly six months from "needs review on every task" to "leads a feature stream from intake to deploy with no hand holding." I have trained many technical and non-technical people and finally succeed with this framework. I've done this method twice, with two different engineers, at the same company. Both progressed faster than expected. Both, two years later, are still senior engineers somewhere doing well. I cannot claim everything I did was right. I can tell you what worked. 

A European IT company where we built and maintained a multi-tenant .NET application serving high-traffic hospitality clients. I was the senior engineer running the rebuild. Both juniors were 1–2 years into their careers. We had real customers, real deadlines, and zero budget for a formal mentoring programme. Everything I did had to fit inside the normal sprint cadence.

The first conversation: What "ready" means 

First of all, I had a 30-minute one-on-one with each engineer that I now think of as the most important conversation. I asked them one question: "What does being a feature-stream owner actually mean to you?" Both answered confidently, but both were wrong, not in a bad way, but in the way that every junior engineer is wrong. They thought it meant being able to write code without supervision. That's about 20% of it. I had a flip-chart sheet ready with what I thought it actually meant: 
You can read a vague business requirement and ask the three questions that surface scope ambiguity 
You can decompose a feature into stories with explicit acceptance criteria 
You can identify which existing code needs to change and which doesn't 
You can write the code, the tests, and a deployment runbook 
You can review a peer's Pull Requests against the feature and catch architectural drift 
You can present what shipped to a non-technical stakeholder in five minutes 
You can say "this is not done yet, here's why" to a product manager who wants to release on Friday 

We talked about each point. They wrote down where they thought they were on each. The honest self-assessment from both was strong on (4) and parts of (5), weak on the rest. The point of this conversation was not to score them. It was to align on the destination. Six months later, when we were two-thirds of the way through, I could point at the flip chart and say "you've moved from beginner to comfortable on items 1 through 5. Items 6 and 7 are the next focus." Without that initial conversation, "mentoring" becomes a series of disconnected interventions. With it, every interaction has a target.

Pair programming: structured, not improvised 

Most pair programming I've seen is two people sharing a keyboard for an hour, with the senior doing 90% of the typing and the junior watching. That doesn't work. The junior learns nothing they couldn't have learned from a recording. 
The structure I used had three types, picked deliberately per session: 

Type A - Driver/navigator with role reversal. 
Junior drives the keyboard. I navigate. I do not touch the keyboard. If they go down the wrong path, I ask "what does that achieve?" rather than telling them. After 25 minutes, we swap. After two more 25-minute blocks, we stop and review what we built. 

Type B - Watch the recording. 
I write a non-trivial piece of code while they watch. They take notes on three questions: what surprised me, what decision did I make that they don't understand, what would I have done differently. We then go through their notes. 

Type C - Ping-pong TDD. 
They write a failing test. I write code to make it pass. I write a failing test. They write code to make it pass. Repeat. This is the highest-density mode and the most exhausting. Two hours of this is more than a full day of normal coding. 

The mistake I made early on was defaulting to Type A all the time. Type A is the most "fairfeeling" but it's not the highest learning rate. Type B is what teaches design intuition. Type C is what teaches discipline. I learned to read the engineer's current weakness and pick the mode that addressed it.

Written code review: The highest leverage tool you have

Pair programming scales to about two engineers. Written code review scales to a whole team and produces a permanent record that the engineer can re-read months later.
What I committed to:

Every pull request, structured written feedback within 24 hours. No exceptions. If the pull request was small, the review was small. If the pull request was large, the review was longer. But it always landed within a day.

Three categories of comment, clearly labelled. must: (blocker, won't merge), should: (strong suggestion, push back if you disagree), nit: (cosmetic, take it or leave it). This explicit labelling removed about 80% of the social friction around code review.

At least one specific positive comment per review. Not generic "looks good." A specific call-out of a decision that I thought was particularly well-made. This builds the habit of seeing good work, not just defects.

A weekly summary at the end. Every Friday I'd send a private message: "this week I noticed you're getting much sharper on test coverage; the area you're still wobbly on is null handling at boundary points." Two sentences, no more.

The weekly summary was the highest-leverage thing. It compresses the diffuse signal of dozens of PR comments into a single, actionable, retrievable artefact. After three months of weekly summaries, the engineer could read back their growth.

Progression markers I watched for

I had three signals that told me the engineer was ready for more autonomy:
They started disagreeing with me in code review, with reasoning. Not just "I prefer my way" citing patterns, citing implications, citing what would happen six months from now.
They started writing tests before they wrote code, unprompted. Not because I told them to. Because they realised the test was where the design conversation actually happened.
They started catching things I missed. The first time a junior pointed out a race condition I'd overlooked in my own commit, I made a private note in my journal. That's the moment.

When all three signals were consistent for at least three weeks, I increased their scope. When they regressed, I scaled back temporarily and named the regression specifically. Never as criticism as a data point.

The mistakes I made

I over-corrected too early. In the first six weeks, I gave too much detailed feedback on every pull request. The engineer became dependent on my review and stopped exercising their own judgement. The fix was deliberately leaving lower-priority issues unflagged on smaller PRs, so they had to develop their own taste for what mattered.
I confused "questions" with "Socratic questions." When I asked "what does this code do?" I sometimes meant it as a teaching prompt and sometimes meant it as a genuine question because I didn't understand. The junior couldn't tell the difference and felt tested. I started saying explicitly: "I'm asking because I'd like to talk this through" vs "I'm asking because I genuinely don't understand."
I waited too long to give a real promotion conversation. Both engineers reached technical readiness for the senior role about a month before I had the courage to push for the title change. I now believe that moment of recognition is the single biggest accelerator. Don't delay it.

What "six months" actually looked like

Months 1–2: Heavy pair programming (3–4 sessions per week). Detailed code review. Both engineers shipping tickets I had decomposed for them.
Month 3: Engineers start decomposing their own tickets. Pair programming drops to twice per week. Code review still detailed.
Months 4–5: Engineers start owning small features end-to-end (intake, decomposition, build, ship, monitor). Pair programming reduces to one session per week, focused on harder problems. Code review remains.
Month 6: Engineers leading a feature stream each, decomposing for one another. Pair programming on-demand only. I'm reviewing PRs but not gating them.

The whole process is heavy at the start and tapers. The mistake managers make is keeping the cadence flat, which prevents the engineer from ever feeling the weight of ownership.

What I'd do differently if I started today

I'd add an explicit "skill matrix" a visible document, agreed at the first conversation, that lists every competency expected of a senior engineer in the team, scored 1 to 5. The engineer self-scores monthly. I score them quarterly. The gap between the two scores is its own teaching moment.

I'd also add structured exposure to other parts of the business. Both my engineers were strong on code but weak on customer empathy and commercial reasoning. A monthly 30-minute conversation with someone in sales, support, or finance would have closed that gap a year faster than osmosis did.

If you're a senior engineer being told to "mentor someone" with no structure, my suggestion is: ignore the advice that mentoring is mostly emotional support. It's mostly structured technical work, repeatedly, on a calendar. The relationship follows from the work, not the other way around.