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Communication problems

Learn from mistakes

  1. Make a mistake
  2. Fix the mistake
  3. Learn from the mistake
  4. Share the mistake experience with others
  5. Repeat 1-4 for the rest of your career

Rejection is an inevitable part of the job interview process, but it doesn't have to be the end of your journey. Take each rejection as a learning opportunity and come out stronger than before.

Developers’ views on AI

The most resilient professionals aren’t asking “Is my job safe?”

They’re asking “How do I redesign my career before I have to?”

From Greg Brockman:

Software development is undergoing a renaissance in front of our eyes. If you haven't used the tools recently, you likely are underestimating what you're missing. Since December, there's been a step function improvement in what tools like Codex can do. Some great engineers at OpenAI yesterday told me that their job has fundamentally changed since December. Prior to then, they could use Codex for unit tests; now it writes essentially all the code and does a great deal of their operations and debugging. Not everyone has yet made that leap, but it's usually because of factors besides the capability of the model.

From Andrej Karpathy:

I've already noticed that I am slowly starting to atrophy my ability to write code manually. Generation (writing code) and discrimination (reading code) are different capabilities in the brain. Largely due to all the little mostly syntactic details involved in programming, you can review code just fine even if you struggle to write it.

Programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks in English and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you.

From Ryan Dahl:

This has been said a thousand times before, but allow me to add my own voice: the era of humans writing code is over. Disturbing for those of us who identify as SWEs, but no less true. That's not to say SWEs don't have work to do, but writing syntax directly is not it.

From Addy Osmani:

The collapse of the implementation middle isn't making engineering less important but it's revealing what was always important: understanding problems so clearly that the code (now, the spec for our agents) becomes more obvious. As software engineers, our identity was never “the person who can write code” - it was “the person who can solve problems with software.”

From Lauren Tan:

In 2026, not getting value out of AI is actually a skill issue. And you wouldn't be the first. All engineers (including me) who started their careers before AI must learn new skills in order to stay relevant. These are new skills we'll be learning over time. I'm not going to say that you're going to be left behind, but like any new paradigm, this requires changing mental models and perspectives. Skills can be learned with time (and they will keep evolving), but changing your perspective is the first and most important step.

From Tom Wojcik:

If the AI writes all the code and you only review it, where does the skill to review come from? You can’t have one without the other. You don’t learn to recognize good code by reading about it in a textbook or a PR. You learn by writing bad code, getting it torn apart, and building intuition through years of practice. This creates what I’d call the review paradox: the more AI writes, the less qualified humans become to review what it wrote.

We used to have juniors, mids, seniors, staff engineers, architects. It was a pipeline where each level built on years of hands-on struggle. A junior spends years writing code that is rejected during the code review not because they were not careful, but didn’t know better. It’s how you build the judgment that separates someone who can write a function from someone who can architect a system. You can’t become a senior overnight. Now, a junior with Claude Code delivers PRs that look like senior engineer work. But does it mean that the senior hat fits everyone now? But the head underneath hasn’t changed. That junior doesn’t know why that architecture was chosen.

Business and Engineering alignment by Kent C. Dodds

Your job isn't to turn user stories into code. The company has a mission. Everyone at the company is hired to push that mission forward. You're not a software engineer hired to code. You're a human hired to push their mission forward. It just so happens that you are a human with coding skills and during the hiring process, they recognized that those coding skills could help them in their mission.

You may not have enough information to perform the analysis. You may need to ask the product manager questions about the features and how they tie into the mission of the company. Go into the conversation with an open mind and a desire to understand. The company hired the product manager to help prioritize work in the optimal way to push the mission forward. You should trust them to do their job well and recognize that they may have context that you're missing. So long as you effectively expressed all the information you can about the long-term benefit-to-effort ratio of your ideas then you've done all you can there.

Disagree on "Don't hire jumpy people" by Mekka

If you join a company or team and deal with constant nonsense and a broken culture? Switch. Immediately. Do not delay. And if the new team is nonsense again? Switch again. Don't let these people waste your time or tax your peace.

You will do your best work when you are supported and included. You will make up more career time working 6 months at the right place, than in the previous 6 years of daily hell.

An inclusive team will not judge you for switching multiple times finding the right fit. And hiring managers, have more confidence in your ability to create an environment that people want to stay at. The past at other teams and other situations doesn’t predict the future at your team and this situation. I have seen so many “jumpy” people find their “home” after so many jumps. Sometimes it’s the first decent manager they have, sometimes the first company they can grow with and so on...

Don't ask people why they left their last position. They often can't tell you, and it's not relevant. Instead, ask what they are looking for in their next role. You can even ask how long they intend to stay, or what would entice them to spend N years on the same team or role.

Product and Platform Engineers by Lee Robinson

The divide between frontend and backend engineers is increasingly less useful:

Product Engineers consider the frontend, backend, design, and everything in between to create a great user experience. They don't need to understand every part deeply, a common misconception of "fullstack". Instead, they have a broad understanding of the available tools and deep experience applying those tools to build products. At Vercel, we updated our job descriptions to change references from Fullstack to Product Engineers.

While Product Engineers focus on building and enhancing features that solve end user problems, Platform Engineers focus on the infrastructure that supports the product.

Five things I’ve stopped doing as a leader by Kelly Vaughn

  1. Focusing on outputs over outcomes. It's easy to celebrate launching a new feature, but the real win is the impact on users and the business. I've learned to ask, What did this actually change?
  2. Worrying about making sure my team is only working on important things. The reality is we're all going to have to do things at work that aren't exactly fun or the biggest money movers, but they're still necessary in their own right. Leave space to sit through the boring work.
  3. Avoiding conflict. Giving tough feedback used to make me anxious. Now, I see those conversations as opportunities to grow—both for me and my team.
  4. Micromanaging. Instead of solving problems for my team, I guide them to find their own solutions and give them room to decide the best path forward without me lighting the way. Delegation isn’t just about efficiency. It’s about trust.
  5. Treating self-care as optional. Burnout isn’t a badge of honor. Being busy isn't something to brag about. When I take the time to care of myself, I lead with clarity and empathy. It's a win for everyone.

Good engineer and bad engineer by Matheus Lima

Your code doesn’t advocate for you. People do. by Addy Osmani

Early in my career, I believed great work would speak for itself. I was wrong. Code sits silently in a repository. Your manager mentions you in a meeting, or they don’t. A peer recommends you for a project, or someone else.

In large organizations, decisions get made in meetings you’re not invited to, using summaries you didn’t write, by people who have five minutes and twelve priorities. If no one can articulate your impact when you’re not in the room, your impact is effectively optional.

This isn’t strictly about self-promotion. It’s about making the value chain legible to everyone- including yourself.

Glue work - documentation, onboarding, cross-team coordination, process improvement - is vital. But if you do it unconsciously, it can stall your technical trajectory and burn you out. The trap is doing it as “helpfulness” rather than treating it as deliberate, bounded, visible impact.

Timebox it. Rotate it. Turn it into artifacts: docs, templates, automation. And make it legible as impact, not as personality trait.

Priceless and invisible is a dangerous combination for your career.

Social media rewards hype, not good content. by Brad Traversy

It rewards what’s sensationalized: things that go viral, things that make people mad, things that scare people. So naturally those are the voices that get pushed and sound the loudest.

These are the 3 culprits I see every day:

  1. The AI over-hypers. Every time I opened social media I saw the same posts: "Claude just killed every business that does X" and "SaaS is cooked because of tool Y". Let me give you a hint, these guys don't know anything. They're there to make noise and get any attention they can get.
  2. The AI influencers who get paid to make content, test tools, and move on are not actual experts or daily users of the tools they are marketing. So when you see one person talking about new tools every day, they are just scratching the surface and posting it online.
  3. The person selling AI tools: The most recent (and the worst example I've seen) is Replit CEO saying that not knowing how to code is an advantage. Just remember, these guys are selling AI products and benefit from you buying their tools. They don't represent the reality of the industry.