Productivity Articles

78 posts

TypeScript at Scale: Why Your tsc Takes 90 Seconds and How to Fix It 5/8/2026 Your build is slow. Your editor lags when you hover a type. CI spends more time type-checking than running tests. None of this is unavoidable. Most of the cost is a small number of patterns that are easy to write and expensive to compile. Here is how to find them and what to do.
Anthropic and SpaceX: What the Colossus Deal Actually Means for Developers 5/7/2026 Claude Code rate limits doubled overnight. The reason is a 220,000 GPU data center in Memphis that SpaceX built and Anthropic just rented, from the same Elon Musk who was calling Anthropic evil three months ago. Here is what this deal actually means for developers building with Claude in 2026.
JavaScript Async Lifetimes: The Leak You Have and Probably Do Not Know About 5/7/2026 Promise.all does not cancel sibling tasks when one fails. Your async code is likely leaking database connections, keeping fetches alive after unmount, and holding ports open through process exits. ES2026 finally gives you the primitives to fix this without a library. Here is how.
Embedding Models And Reranking In Production 2026: Picking The Pair That Actually Lifts Retrieval Quality 5/6/2026 The embedding model decides what your retriever can find. The reranker decides what makes it to the LLM. By 2026 the production patterns for picking and pairing these two have stabilized, and most teams are still leaving real recall on the table because they treat embeddings as a commodity and skip reranking entirely. Here is what actually works, and what to stop doing.
RAG Chunking Strategies In Production 2026: What Actually Survives Real Documents And Real Queries 5/6/2026 Most RAG systems do not fail at the LLM. They fail at the chunker. By 2026 the patterns for splitting documents into retrievable units have matured into a small set of choices that consistently outperform the default 512-token slicer everybody starts with. Here is what those choices are, where each one breaks, and how to pick the right one without rebuilding the index every Friday.
AI Guardrails And Output Validation In Production 2026: What Actually Catches Bad Outputs Before Users Do 5/5/2026 Most teams discover their guardrails are missing the moment a screenshot of their AI saying something stupid hits the timeline. By 2026 the patterns for catching bad LLM outputs before they ship to users have settled into something concrete: layered validators, fast cheap checks first, expensive ones only when needed, and a clear policy for what to do when validation fails. Here is what that looks like in real systems.
Small Language Models In Production 2026: Where SLMs Beat Frontier Models, And Where They Quietly Fail 5/5/2026 The 8B-parameter model that runs on a single GPU is good enough for more of your pipeline than you think, and worse than you think for the parts you keep wanting to give it. By 2026 the production patterns for using small language models alongside frontier ones have settled into a clear shape: route by task, not by vibe, and stop paying for capabilities you are not using. Here is how that actually plays out.
Designing Tools For AI Agents In 2026: Schemas, Descriptions, And The Pitfalls That Make LLMs Fail Silently 5/4/2026 The bug in most agents is not the model. It is the tools you handed it. Vague descriptions, overlapping responsibilities, and schemas that look fine on paper produce agents that confidently call the wrong function with the wrong arguments. Here is how to design tools the model can actually use, drawn from the production patterns that have stabilized by 2026.
Multi-Modal AI Agents In Production: Vision, Audio, And The Glue That Actually Works In 2026 5/4/2026 Shipping a multi-modal agent is not the same as adding an image input to your chat. The teams running real vision and audio agents in production by 2026 have discovered the same set of sharp edges: tokenization surprises, latency that explodes on the second modality, evaluation that needs new shapes, and cost curves that look nothing like text. Here is what that actually looks like once it is in front of users.
The LLM Router Pattern in 2026: Model Routing, Fallbacks, and Cost Control That Actually Works 5/1/2026 Picking one model for your whole app is the bug. The teams shipping the best AI products in 2026 route every request to the cheapest model that can handle it, fail over when providers blink, and treat model selection as part of the app, not part of the prompt. Here is how to do it without making a mess.
AI Agent Frameworks in 2026: LangGraph vs Mastra vs Vercel AI SDK vs OpenAI Agents SDK vs Pydantic AI 4/30/2026 There are too many agent frameworks and most of the comparisons online are useless. Here is what I have actually shipped on each, where they shine, and where they will quietly cost you a weekend you did not budget for.
AI Voice Agents in Production: What Actually Works in 2026 4/29/2026 Voice agents went from "cute demo" to "real product surface" this year. Most of them still feel terrible. Here is what separates the voice AI experiences people actually use from the ones they hang up on, written from the trenches.
Problem Validation for Indie Hackers: Why You Are Building the Wrong Thing (And How to Know Before You Start) 4/28/2026 The gap between "can build" and "should build" has never been wider. AI tools made shipping trivially fast. That is exactly why building the wrong thing faster than ever has become the new way to fail. Here is a practical validation framework for solo founders who want to work on problems worth solving.
Securing AI Agents in Production: What Nobody Tells You Before Something Breaks 4/28/2026 A Cursor AI agent deleted a production database in nine seconds. Not because the AI was malicious, but because nobody thought carefully about what it was allowed to touch. Here is a practical security framework for running AI agents in production without handing them the keys to everything.
LLM Fine-Tuning for Developers: When RAG Is Not Enough 4/27/2026 RAG is the answer for most retrieval problems, but there is a class of problem it cannot solve: when you need the model itself to behave differently, not just know more things. This is the practical guide to fine-tuning I wish I had before I wasted two months and four thousand dollars doing it wrong.
Structured Outputs in 2026: Function Calling, JSON Mode, and the Schema Wars 4/25/2026 Three years ago you parsed LLM JSON with a prayer and a regex. In 2026 every major provider supports schema-constrained outputs, but they all do it differently, and the wrong choice will silently corrupt your data. Here is the field guide I wish I had before I shipped four broken integrations.
Prompt Caching in 2026: Anthropic vs OpenAI vs Gemini for Production Apps 4/24/2026 Prompt caching is the quiet unlock that makes long context economics work in production. But every provider implements it differently, the pricing math is not obvious, and most developers are leaving 70 to 90 percent savings on the table. Here is a field guide after burning a lot of tokens to figure out what actually works.
Temporal vs Inngest vs Vercel Workflow in 2026: Picking a Durable Engine 4/24/2026 Durable execution engines went from "interesting infra pattern" to "the only sane way to build AI agents and long-running background work" in 2026. Temporal, Inngest, and Vercel Workflow are the three I keep seeing in production. Here is how they actually compare after running real workloads on all three.
RAG vs Long Context in 2026: When to Retrieve and When to Just Stuff the Window 4/23/2026 Claude Opus 4.7 ships with a 1 million token context window. Gemini 2.5 has 2 million. GPT-5 sits at 400k. The obvious question: do we still need RAG, or can we just paste the whole codebase into the prompt? After rebuilding two production features both ways, the answer is not what I expected.
Vector Database Comparison 2026: pgvector, Pinecone, Turbopuffer, and Qdrant 4/23/2026 I spent the last two months running the same RAG workload across pgvector, Pinecone, Turbopuffer, and Qdrant on real production traffic. Here is what actually shipped, what broke, and which one I would pick if I were starting a new project this week.
AI Code Review Tools in 2026: CodeRabbit vs Greptile vs Vercel Agent 4/22/2026 AI code review tools moved from novelty to mandatory in 2026. CodeRabbit is the market leader, Greptile is the technical darling, and Vercel Agent is the native pick for anyone deploying on Vercel. Here is an honest comparison after running all three against real pull requests on real codebases.
Durable AI Workflows in 2026: Why Your Next AI Feature Needs Orchestration 4/22/2026 AI agents that talk to APIs, run for minutes, and touch external state break in ways your typical request-response code does not. Durable workflow engines like Inngest, Trigger.dev, and Vercel Workflow solve a problem most developers do not realize they have until production burns them. Here is the guide I wish I had six months ago.
Cursor vs Windsurf vs Zed: The AI IDE Showdown (2026) 4/21/2026 Three AI-native IDEs are competing for the seat next to your keyboard. I used each one as my daily driver for a week. Here is what actually matters when you pick between Cursor, Windsurf, and Zed in 2026.
SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) 4/17/2026 A 5% drop in monthly churn can double your LTV. Most solo founders know this but do not have a system for actually fixing it without hiring support staff. This is that system.
Claude Opus 4.7 Just Dropped: First Impressions, Benchmarks, and What Actually Changed 4/16/2026 Anthropic released Claude Opus 4.7 today with major improvements to agentic coding, 3x sharper vision, and a new effort level that sits between high and max. Here is what is genuinely different, what the benchmarks say, and whether you should switch from 4.6 right now.
How to Test AI-Generated Code Without Losing Your Mind (or Your Users) 4/16/2026 AI-generated code introduces 1.7 times more bugs than human-written code. Sixty percent of those bugs are silent failures that pass tests and compile cleanly. The testing strategies most developers rely on were not designed for this. Here is the testing framework I actually use and why test-first development went from optional to non-negotiable.
AI Evals for Solo Developers: How to Actually Know Your AI Feature Works 4/15/2026 Everyone talks about shipping AI features fast. Almost nobody talks about how you verify the output is actually good. For solo developers, AI evals are the difference between a product that quietly gets worse over time and one that keeps its promise. Here is a practical guide that does not require a machine learning team.
The Real Cost of Running AI in Production: How to Cut Your LLM Bills by 60 to 90 Percent 4/14/2026 Most developers ship their first AI feature, watch the bill explode, and assume that is just the cost of doing business. It is not. Model routing, prompt caching, and batch processing can cut your LLM spending by 60 to 90 percent without sacrificing quality. Here is how to actually do it.
What Happens After You Vibe Code: Production Observability for Solo Developers 4/14/2026 Shipping fast with AI is the strategy everyone is talking about. But 51 percent of GitHub commits are now AI-assisted, and bug density in AI-generated code is measurably higher. When something breaks in production and you are the only developer, the cost is not just downtime. It is a week of momentum. Here is how to set up monitoring that catches problems before your users do.
The AI Memory Problem: Why Your Coding Agents Keep Forgetting Everything (And How to Fix It) 4/9/2026 Every time you start a new Claude Code or Cursor session, your agent starts fresh. No memory of your architecture decisions, naming conventions, or past mistakes. Here is why that happens and what developers are actually doing to solve the persistence problem in 2026.
Developer-Led Growth in 2026: How to Get Your First 100 Paying Customers 4/9/2026 Most developers who build good products still struggle to get paying customers. The product is almost never the problem. Distribution almost always is. Here is what actually works for developer tools and technical SaaS in 2026.
Why Your AI Agents Are Costing You 10x More Than They Should (And How to Fix It) 4/8/2026 Most developers using Claude Code or building AI agents have no real idea what their agents cost. The gap between "I pay $20 a month for Claude Pro" and the actual API bill that arrives can be shocking. Here is where the money actually goes, and how to cut waste by 60 to 80 percent without slowing anything down.
The Edge Computing Lie: Why Most Apps Do Not Need Edge Functions 4/6/2026 Edge functions are being sold as the default deployment target for modern apps. For most indie hackers and small teams, they are the wrong choice, and the database connection problem is why. Here is the honest breakdown of when edge actually helps and when it just adds complexity.
The Vibe Ceiling: A Decision Framework for When to Stop Trusting AI-Generated Code 4/6/2026 METR found that experienced developers are 19% slower with AI on their own mature codebases, but feel 20% faster. That 39-point perception gap is the vibe ceiling, and it hits every developer at a different point. Here is a practical framework for knowing exactly where yours is.
AI Code Review Is the New Bottleneck: Why Faster Code Is Not Reaching Production Faster 4/4/2026 AI tools helped developers merge 98% more pull requests. PR review time increased 91%. Pull request size ballooned 154%. The bottleneck did not disappear. It moved. Here is why code review became the choke point in AI-accelerated teams and what to actually do about it.
Running Local AI Models for Coding in 2026: When Cloud Tools Are Not the Answer 4/4/2026 Ollama hit 52 million monthly downloads in Q1 2026. Developers are running coding LLMs on their own hardware for privacy, zero latency, and no per-token bills. Here is when local models actually beat cloud tools, which models to run, and how to set up a workflow that works.
The AI-Powered Agency: A Developer Playbook for Selling AI Services in 2026 4/2/2026 Y Combinator is telling founders to stop building SaaS and start selling AI-powered services instead. The pitch is simple: use AI yourself and sell the finished work for 10x what the tool costs. Developers are uniquely positioned for this because they can build the automation layer that makes it scale. Here is the practical playbook for starting an AI-powered agency as a developer in 2026.
The Developer Newsletter Playbook: How to Build a Newsletter That Actually Makes Money in 2026 4/2/2026 TLDR grew from a side project to 7 million subscribers and an estimated $5-10M in annual revenue with a team of four people. Bytes built a massive JavaScript-focused audience that funds an entire educational platform. Developer newsletters are quietly one of the most profitable media businesses you can run, and they compound over time in a way that social media never will. Here is how to start one, grow it, and turn it into real revenue.
The One-Person Startup Just Hit a New Ceiling: What It Actually Takes to Scale Solo in 2026 4/1/2026 Sam Altman predicts the first one-person billion-dollar company. Dario Amodei gives it a 70-80% chance of happening this year. Meanwhile, solo founders like Pieter Levels are pulling $3-5M annually with zero employees. The one-person startup is not a lifestyle play anymore. It is a legitimate scaling model. Here is what actually separates the solo founders who scale from the ones who stall.
Speed Is the Only Strategy: Why the Fastest Founders Win in 2026 4/1/2026 OpenAI ships major updates every 4-6 weeks. Anthropic drops features that rewrite the rules overnight. A solo founder built an AI platform and sold it for $80M in six months. The market rewards speed more than it has ever rewarded anything else. If you are spending months perfecting before you ship, you are playing a game that no longer exists.
The Developer Freelancing Playbook: How to Land Clients, Set Rates, and Build a Business That Lasts in 2026 3/31/2026 Freelance developer rates range from $40 to $200 per hour in 2026, but most developers who try freelancing quit within six months. Not because the work dries up, but because they treat freelancing like a job instead of a business. Here is the playbook I wish someone had given me before I took the leap.
Return to Office Is Not a Productivity Strategy: What Actually Makes Developers Effective in 2026 3/30/2026 Fifty-four percent of Fortune 100 companies now require full-time office attendance, up from 5% in 2023. Yet 80% of those companies have already lost talent because of it. The RTO debate for developers has never been about location. It is about deep work, flow states, and whether your environment lets you think. Here is what the data says and what both companies and developers should do about it.
MCP (Model Context Protocol): The Developer Guide That Actually Explains It 3/26/2026 MCP has 97 million monthly SDK downloads and every major AI company has adopted it. But most developers still do not understand what it does, how it works, or why it matters for the way they build software. This is the practical guide.
You're Probably Undercharging: A Practical Guide to SaaS Pricing for Indie Hackers 3/25/2026 Most indie hackers set their price once, pick something that feels safe, and never touch it again. That one decision quietly caps their revenue for months. Here is what I have learned about SaaS pricing from my own products and from watching dozens of founders get it wrong, including me.
From Side Project to First Dollar: The Realistic Path Most Developers Never Take 3/25/2026 Most developers have three to five abandoned side projects sitting in private repos. Not because the ideas were bad, but because nobody ever treated them like products. Here is the gap between building something and making money from it, and how to close it without quitting your job or burning out.
Technical Interviews in 2026: The Rules Changed and Nobody Sent a Memo 3/24/2026 Meta now lets candidates use AI in coding interviews. Google factors AI usage into performance reviews. The interview format that defined developer hiring for two decades is being rewritten in real time. Here is what the new version looks like, what companies are actually evaluating now, and how to prepare for interviews that test a completely different set of skills.
The AI Productivity Paradox: Why Developers Who Ship More Code Are Not Actually More Productive 3/23/2026 A controlled study found developers using AI tools took 19 percent longer to complete tasks while believing they were 20 percent faster. Teams with high AI adoption merge 98 percent more pull requests but PR review time increases 91 percent. The numbers do not add up, and understanding why is the difference between using AI well and just using AI.
Building Is the Easy Part Now: Distribution Is the Only Moat Left for Indie Hackers 3/23/2026 AI made building fast and cheap. A chef built a media client in under a week. Developers ship production apps in 72-hour sprints. But almost nobody gets users. The best AI builder with no audience is worth less than a mediocre creator with 50,000 email subscribers. Distribution is the only moat left, and most indie hackers are still optimizing the wrong side of the equation.
Vibe Coding in 2026: The Revolution That Is Rewriting How Software Gets Built 3/21/2026 Vibe coding went from a Twitter joke to a legitimate development paradigm in under two years. Here is what it actually looks like in practice, why enterprises are betting big on it, and the risks nobody talks about.
AI-Generated Code Is Creating a Technical Debt Crisis Nobody Is Auditing 3/20/2026 Forty-one percent of all new code is now AI-generated. Most of it ships without meaningful review. The result is a new category of technical debt that traditional tools cannot detect and most teams are not even looking for. Here is a practical framework for auditing your codebase before it catches up with you.
The Zero Employee Ops Team: How I Automated Every Non-Coding Task in My Solo SaaS 3/20/2026 Running a one-person SaaS means doing sales, support, marketing, billing, and ops on top of actually building the product. I spent months automating 90 percent of the non-coding work with AI agents and workflow tools. Here is the exact stack and every workflow I built.
AI Brain Fry Is Real: Why the Most Productive Developers Are Burning Out First 3/19/2026 A BCG study of 1,488 workers found that using more than three AI tools tanks productivity instead of boosting it. The developers who adopted AI the hardest are now experiencing the highest burnout rates. I have been feeling it too, and the research finally explains why.
Context Engineering in 2026: The Skill That Actually Makes AI Coding Work 3/19/2026 The industry spent 2024 obsessing over prompt engineering. In 2026, the developers getting the best results from AI coding agents have quietly moved on to something different. Context engineering is about designing what the model sees, not just how you ask. Here is why it matters and how to actually do it.
Spec-Driven Development in 2026: The Future of AI Coding or Waterfall 2.0? 3/18/2026 Everyone is talking about spec-driven development. GitHub launched Spec Kit with 72k stars. AWS built Kiro around it. But some developers say it is just Waterfall wearing a new hat. I tried it on a real project and here is what I actually think.
Claude Opus 4.6 vs GPT-5.4 vs Gemini 3.1 Pro: Which AI Model Should You Actually Use in 2026? 3/17/2026 The three flagship AI models of 2026 are closer in capability than ever, but they are not interchangeable. Here is an honest breakdown of where each one excels, where each falls short, and how to pick the right model for the work you actually do.
Rust in 2026: Why Nearly Half of All Companies Now Use It in Production 3/17/2026 Rust has gone from a systems programming curiosity to a language used in production by nearly half of all software companies. Here is what drove that adoption, what the real experience of using Rust in production looks like, and whether you should learn it now.
Open Source AI Is Closing the Gap on Proprietary Models in 2026 3/16/2026 The gap between open-weights models and closed proprietary AI has gone from years to months. Here is what the benchmark convergence actually means, who is leading the open source race, and how to decide when self-hosting makes sense.
Physical AI Is the Next Gold Rush and Everyone Wants In 3/16/2026 Humanoid robots and physical AI are attracting billions in funding in 2026, with companies like Figure AI, Neura Robotics, and Boston Dynamics pushing the technology toward real commercial deployment. Here is what is actually happening and what the next few years look like.
I Started Learning AI Engineering Two Days Ago. Here Is My Honest Take. 3/13/2026 Two days into learning AI engineering, I already have opinions. The demand is real, the path is clearer than I expected, and some of what gets marketed as "AI engineering" is genuinely confusing. Here is what I found.
Agentic Coding in 2026: The Developer Role Is Changing Whether You Like It or Not 3/12/2026 Forty-six percent of code written by active developers now comes from AI. The shift from autocomplete to autonomous agents is not a future trend, it is the current reality. Here is what that actually looks like in practice and what it means for how you work.
Claude Code vs Cursor vs GitHub Copilot: The 2026 AI Coding Tool Showdown 3/10/2026 The AI coding tool landscape flipped in 2026. Claude Code went from zero to the number one tool in eight months. Cursor is still the power user favorite. GitHub Copilot is fighting for its place. Here is an honest breakdown of all three after using them daily.
Git Beyond the Basics: Tricks That Actually Save My Day 2/23/2026 Most developers learn git add, git commit, git push, and call it done. But git is a remarkably deep tool, and the commands most people never learn are exactly the ones that save the most time. Here are the git techniques I actually use to recover from mistakes, understand history, and move faster...
How I Use AI Tools in My Daily Workflow (And Where I Do Not) 2/23/2026 Everyone has an opinion on AI coding tools. Half the internet says they will replace developers; the other half says they produce garbage code. After using them daily for over a year, I have a more boring take: they are just tools. Here is exactly how I use them, where they genuinely help, and where I have learned to ignore them...
SnapPoint: A Hard Reset for Your Dev Machine 2/3/2026 Most developer machines are not clean. They just look clean. SnapPoint is a system auditor and package manager manager built to surface the mess and help you reclaim clarity.
No Mouse 30: A Small Experiment in Working With the Keyboard 12/16/2025 After dealing with wrist pain caused by constant mouse use, I’m running a 30-day experiment to work keyboard-first. This isn’t about extreme productivity or purity. It’s about noticing friction, reducing context switching, and building better habits.
Creators Are Losing Hours Chasing Trends. I’m Building a Fix. 12/8/2025 If you create content, you already know the struggle Every creator knows this feeling: You sit down ready to film or write…but first you have to figure out what is trending right now. So you open:Google TrendsYouTube TrendingX exploreReddit Popular A...
Stop Obsessing Over the Perfect Stack 9/2/2025 The Setup: A Familiar Scene You have a brilliant idea, and excitement bubbles within you. You open your code editor, create a repository, and even design a logo. But then a familiar dilemma arises: “Should I choose Next.js or Remix?” “Do I need TypeS...
The Domain Graveyard Problem (And How to Avoid It) 6/7/2025 If you have been in the indie hacker or startup world for a while, you probably know this feeling. You get a new idea. You get excited.You check if the domain is available. It is.You buy it.Then nothing happens. A year later, you look at your domain ...
Dotfiles: The Secret Weapon for Effortless Configuration Management 1/4/2025 As a developer, there’s nothing more satisfying than setting up a new machine and having all your favorite tools and settings ready to go in minutes. That’s where dotfiles come in -- a developer’s best-kept secret for managing and syncing configurations...
5 Common Mistakes Freelancers Make With Invoicing (And How to Fix Them) 1/1/2025 Invoicing is a critical part of freelancing, yet it’s often overlooked or mismanaged. Mistakes in this area can delay payments, strain client relationships, and disrupt your cash flow. Below are five common invoicing mistakes freelancers make -- and act...
Blue light glasses. My experience 2/25/2024 Hello everyone! My name is Alex Cloudstar Today I want to tell you about one of the lessons I learned during my career as a software engineer. Health is above all else, which is why I try to maintain it as much as possible, while also maintaining my ...
A day in the life of a programmer. New challenges or a routine? 2/22/2024 Hello everyone! My name is Alex Cloudstar Today I want to tell you about a day in my life as a senior programmer with 5 years of experience. I’m sure that many of you are curious if programmers really only work 3 hours a day, if we sit non-stop at th...
Typing Towards Health: The Benefits of Split Keyboards 2/9/2024 Hello everyone! My name is Alex Cloudstar and for the past months I’ve been using a split keyboard. Even though I was highly uncertain if it would be a good investment, it was. Therefore, I want to convince you too. This article is meant for people w...
A Software Developer’s Struggles in the 8-Hour Office Marathon 1/20/2024 Hello Everyone! My Name is Alex Cloudstar I want to share with you today one of the problems that aren’t really specified in any JDs. In the ever-evolving landscape of technology, software developers find themselves at the forefront of innovation, ti...
To Remote or Not to Remote: Chronicles of a Developer’s Journey 12/2/2023 Hello everyone! My name is Alex Cloudstar and today I will tell you my experience regarding going to the office or working remote. Ah, remote work -- the realm where sweatpants reign supreme. I’ve been dancing in this domain long before the pandemic mad...
The book that changed my life 11/27/2023 Hello, fellow knowledge seekers! My name is Alex Cloudstar and today I want to talk about a book that changed the way I think, so therefore it changed my life. Are you ready to shake up your learning game and take on the world of ultralearning? Strap...
My Setup: A Step-by-Step Journey 11/18/2023 Hello everybody! My name is AlexCloudstar and today I want to take you in a journey in which you will see my full setup. As a tech enthusiast focused on efficiency, I’ve assembled a collection of tools that have significantly improved my work experie...
I’ve Been to Over 500 Interviews... and Here’s What I’ve Learned 11/4/2023 Hello everyone! My name is Alex Cloudstar, and I’ve been to over 500 interviews, and let me tell you, it’s been quite a journey. Okay, maybe not exactly 500; I obviously didn’t count them, but there could actually be more. Whether you’re a fresh grad...