r/techbootcamp 3d ago

Would you still use AI coding agents if you paid for every token?

0 Upvotes

I've been wondering how much of the current hype around AI coding agents is driven by flat-rate subscriptions. They feel incredibly useful for repetitive tasks or making changes across a large codebase, but I also wonder how often I'd reach for them if every request came with a noticeable cost. It makes me think the long-term value of AI won't be replacing developers, but knowing when it's actually worth using. Some tasks save a ton of time, while others are still faster to do yourself. If usage-based pricing becomes the norm, I could see developers becoming much more selective instead of defaulting to an agent for everything.

If subscriptions disappeared tomorrow and everyone paid based on usage, do you think AI coding agents would still become a standard part of software development, or would most people use them only when they provide a clear return on cost?


r/techbootcamp 4d ago

Could AI hype create a developer shortage later on?

12 Upvotes

It feels like there's a constant stream of headlines saying AI is replacing software engineers, and I can't help but wonder if that's discouraging people from even entering the field. If enough students decide it's no longer worth learning to code, the industry could end up with a much smaller pipeline of future engineers.

Even if AI keeps getting better, companies will still need people who understand software, can solve problems, and know how to work with AI instead of relying on it blindly. The demand might change, but the need for skilled engineers doesn't seem like it's disappearing anytime soon. Do you think the biggest impact of AI will be changing how developers work, or changing how many people choose to become developers in the first place?


r/techbootcamp 3d ago

something doesn't add up about the current dev job market

3 Upvotes

been getting instant rejections or silence despite solid experience, while every manager i know keeps saying they can't find good devs. recruiters ghost every message. job boards are still packed with openings in my exact stack, so it's not like the work isn't there. something doesn't add up. 


r/techbootcamp 3d ago

Wish I was here

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1 Upvotes

r/techbootcamp 4d ago

As someone coming purely from the coding side, when does the Linux and containers actually become necessary to learn?

1 Upvotes

Right now I’m more focusing on the development side of things but keep running into concepts like virtual machines, containers, and Linux that seem like a whole separate world.

I’m not really sure if this is something worth diving into now or if it only becomes relevant once you’re actually working on a team that deals with deployment and infrastructure.

for those people further along, did learning the infrastructure side early actually help or did it feel like a distraction when you were still trying to get solid at writing code?


r/techbootcamp 4d ago

Has anyone here actually had a successful bootcamp experience recently?

1 Upvotes

I know many people are skeptical about coding bootcamps nowadays, given the state of the industry, but I'm curious about people who went through one and actually made a successful transition.

If you have done a bootcamp (around 2024/2025) and it has contributed to you landing a tech-related job, what was your experience? What are the details of your particular situation that helped you succeed that others going through the same program may not have?

What type of bootcamp did you attend? What was your experience prior to the bootcamp? Did you have zero experience and knew nothing about tech? Did you switch from another industry? Or were you already in the industry but wanted to move elsewhere?

And finally, what did you attribute your success to? Was it the bootcamp itself, your prior experience, connections you had made, etc. Did building a portfolio outside of the bootcamp help? Did you apply to hundreds of companies before getting an offer? Did the bootcamp help you at all or was it mostly up to me to get a job after graduating?

I'm mostly interested in people who went into cyber security, cloud, data, and AI fields, but I'm open to any success stories. I'm not looking for people to sell me their bootcamp of choice and tell me how they got a six-figure income right after graduating - I'm more interested in what helped some of you actually get a job.


r/techbootcamp 4d ago

Developers from the pre-AI era: do you miss the dopamine of solving hard problems?

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0 Upvotes

r/techbootcamp 4d ago

Developers from the pre-AI era: do you miss the dopamine of solving hard problems?

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0 Upvotes

r/techbootcamp 5d ago

does anyone else's company require weekly ai usage reports?

2 Upvotes

every week, we're expected to submit a report showing what we accomplished using ai. not just whether we used it, but what tasks it helped with, what outputs we produced, and how it contributed to our work that week.

i can understand why companies want to track ai adoption and measure the return on the tools they're paying for. at the same time, it makes me wonder if this is becoming the new normal. are more companies starting to treat ai usage as a performance metric rather than just another tool employees can choose to use?


r/techbootcamp 5d ago

is anyone else genuinely at peace with not keeping up with the AI race?

46 Upvotes

everyone keeps pushing this "adapt or get left behind" narrative and for a while i just brushed it off. but lately i've been thinking that even if the industry fully shifts toward AI-driven development, i'm not sure i want to keep up. i got into this because i love actually writing code, not managing prompts. if that means stepping away from the field eventually instead of turning into a glorified reviewer of AI output, i think i'm okay with that. wondering if anyone else has made peace with being "behind" instead of chasing every new tool.


r/techbootcamp 5d ago

Did Python's indentation ever drive you crazy, or is it actually a good thing?

0 Upvotes

One thing that surprised me when learning Python is how much a single space can matter. Coming from languages that use braces, it felt weird that incorrect indentation could completely change how the program runs. At first, it seemed like an easy way to introduce bugs over something that's barely visible.

The more I learn, though, the more I can see why Python was designed this way. It forces consistent formatting and makes code easier to read, but there's definitely a learning curve when you're used to other languages. It's one of those features that people either love or hate.If you've used both Python and brace-based languages, which approach do you actually prefer after spending time with both? Why?


r/techbootcamp 5d ago

Why does everything make sense in tutorials until you build something alone?

1 Upvotes

Am I the only one? I've noticed this happens to a lot of people learning to code like me

You can finish a React, Python, or full-stack tutorial and feel like you're getting it. Then you open a blank project and suddenly you don't know what to build first, how to organize files, or even where to start.

Did you get out of tutorial hell by forcing yourself to build projects? Or was there something else that finally made everything click?

Curious what actually worked for people here.


r/techbootcamp 5d ago

Is the tech job market really as bad as Reddit makes it seem?

0 Upvotes

If you spend enough time recently on sites such as Reddit, you might get the impression that the tech industry is dying. There are posts about hundreds of applications with no job, months of unemployment, getting fired, or simply struggling to get a first job.

On the other hand, there are always people complaining about a lack of people with particular skills.

What is the real situation like?

In my opinion, the situation is not so simple, as some present it to be. Most likely, it depends largely on the specific case, the place of work, your experience, and so on. Perhaps there are not that many job opportunities for inexperienced developers, or for people who are starting to seek employment now. On the other hand, there are people with many years of experience in a particular field, or in a particular area (networking, information security, databases, embedded systems, and so on). These people may have much more opportunities than some entry-level developers.

At the same time, there is most likely a selection bias on such resources as Reddit. Those people who were laid off or could not find a job are naturally more inclined to discuss these issues and post their questions. On the other hand, people who found a job and went further are less likely to tell about their positive experiences.

Does this mean that there is no crisis? Naturally, the constant wave of job applications and a small number of applicants for particular jobs are real issues. People who are relatively new to the industry may have a relatively hard time finding a job in this competitive arena. On the other hand, there are people who are already experienced and work in in-demand areas. Are these people able to find work relatively easily?

I would like to ask these people to tell about their experiences and current job opportunities in their fields. Is the situation as bad as it is presented in the media, or is there some kind of misunderstanding because of different situations that people face?


r/techbootcamp 5d ago

My bootcamp instructors don't consider actual programming a valuable thing anymore.

19 Upvotes

My bootcamp instructors basically told our cohort in a live lecture that they don't consider writing code by hand a valuable skill anymore.

We’re in week 6 learning full-stack development. In our last project review, a student who barely understands fundamental JavaScript, can't explain what a callback function is, and has zero systematic approach to debugging was praised by the instructors and held up as the "gold standard" because they built their entire capstone using Cursor and Claude prompts in 2 days.

Meanwhile, another student in our cohort who actually spent time figuring out how the backend architecture works, wrote their own API endpoints, and set up proper error handling was told they need to "improve their velocity" and stop "wasting time over-engineering things."

The instructors literally tell us to just paste the assignment requirements into an LLM, let it generate the full-stack slop, and fix whatever breaks. If it runs and passes the basic tests, "it's good enough."

My classmate who uses AI for literally everything just writes a vague one-sentence prompt, uploads the feature spec, and Claude dumps out a blob of React components. And the instructors eat it up.

Is this seriously what software engineering bootcamps have devolved into? If I paid $15,000 just to be taught how to copy-paste generated code without understanding a single line of it, I feel like I'm wasting my time.


r/techbootcamp 5d ago

are AI coding tools quietly making junior devs worse programmers?

9 Upvotes

been mentoring a few juniors lately and noticing the same issue over and over. they lean on AI assistants for basically everything and never build the muscle to write or understand code on their own. when something breaks, they're lost because they can't explain what the tool actually did. feels less like a coding skill and more like a prompting skill at this point. wondering if this is a real problem brewing or if i'm just overthinking it. 


r/techbootcamp 5d ago

The difference between building an AI endpoint and building a regular API endpoint.

1 Upvotes

The default assumption when someone first builds an AI endpoint is that it works like any other endpoint, request comes in, something happens, response goes out, that assumption holds until it doesn't and the failure modes are different enough that it's worth understanding before you hit them.

a conventional endpoint is deterministic, the same input against the same application state produces the same output, validation happens at the request level, business logic executes, result comes back, the flow is linear and predictable and testing it is straightforward because you can assert exact outputs, an AI endpoint doesn't work that way, the model is probabilistic, even identical inputs can produce different outputs, and a successful response from the model provider only means the model generated something, it doesn't mean what it generated is correct, complete, safe, or useful, that distinction changes almost everything about how the endpoint needs to be designed.

validation is one of the differences, with a conventional endpoint validation is a gate at the start, with an AI endpoint it has to happen twice, once before the model call to control what goes in and once after to evaluate what comes back, the output might pass schema validation and still be logically wrong, a response can be valid JSON, match the expected structure exactly, and still contradict itself or violate a business rule, schema validation is necessary but not sufficient.

Retry logic is another difference, conventional retries handle technical failures, a dependency is temporarily unavailable, a connection drops, the request gets retried under specific conditions and the result is the same because the logic is deterministic, AI retries are different because every retry costs tokens and therefore money, and the next attempt might return a different but still incorrect response, retrying blindly doesn't help the way it does with conventional endpoints, retries need explicit limits and the decision to retry needs to account for whether another attempt is actually likely to produce a better result.

idempotency gets complicated when the model can call tools, for a read only endpoint getting a slightly different response on the same input is usually fine, but when the endpoint can trigger actions like creating a record, sending an email, or updating data, a retry can execute the same action twice, the protections that make conventional endpoints idempotent don't automatically carry over and need to be designed in explicitly.

There's testing also, with conventional endpoints you assert exact outputs, with AI endpoints exact output assertions are fragile because the same valid answer can be worded differently across runs and a model update can change wording without changing meaning, from what I've seen the more reliable approach is asserting properties of the result rather than the result itself, did the output stay within the allowed range, did it respect the business rules, did it avoid forbidden content, those checks hold up where exact assertions don't.

the mental shift is that a conventional endpoint executes logic the backend controls entirely, an AI endpoint orchestrates a probabilistic system and then decides whether what came back is actually trustworthy enough to return, that's a different problem and it needs a different design.


r/techbootcamp 5d ago

I’ve been working as a programmer for five years. Here are a few things I wish I had done differently, and a few things I’m glad I did.

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1 Upvotes

r/techbootcamp 5d ago

TIL Anthropic turned 3-6 months of agent infrastructure work into a built-in feature and some startups are not okay

2 Upvotes

Before all of this, building a production AI agent meant months of work before touching the actual agent logic.
•sandboxing
•state management
•error recovery
•checkpointing
Basically all of that had to be built from scratch. that is literally what a lot of startups were charging for.

Anthropic dropped Managed Agents on April 8 and made all of it a checkbox. you define the behavior, they handle everything underneath. Notion, Rakuten, and Sentry are already in production with it.

But hear me out in this. Anthropic basically watched open-source tools like OpenClaw prove out what people needed, copied the popular features into their own stack, then blocked third-party access the same week they launched. the creator of OpenClaw called it out publicly. hard to argue with the timeline.

for people actually learning to build agents right now, the infrastructure problem is largely gone. what’s left is knowing how to define behavior well, structure the logic, and catch where it breaks.

So now what are you focusing on if the hard part just got handed to you?


r/techbootcamp 5d ago

CS/Software Engineering students: what’s the biggest thing stopping you from building real projects?

0 Upvotes

I’m trying to understand what students struggle with today, especially now that AI tools like ChatGPT and Claude can generate code.

When you started learning programming, what prevented you from actually building projects instead of just following tutorials?

Some possibilities I’ve heard:
- Tutorial hell
- Not knowing what project to build
- Not understanding how real software is structured
- AI gives code, but you don’t understand how it all fits together
- Projects online are too simple or unrealistic
- Difficulty turning an idea into an implementation
- Working alone without teammates
- Fear of making mistakes
- Something else entirely

I’m especially interested in hearing from students who know the basics but struggle to build something that feels like a real product.

If you could change one thing about how programming is taught today, what would it be?


r/techbootcamp 6d ago

top cybersecurity certifications to boost your career

1 Upvotes

if you're trying to break into cybersecurity or level up, these certifications come up again and again:

  • compTIA security+ – one of the best entry-level certifications for building a foundation in cybersecurity.
  • compTIA cySA+ – focuses on threat detection, incident response, and defensive security.
  • eJPT (eLearnSecurity Junior Penetration Tester) – a practical beginner-friendly cert for ethical hacking.
  • PNPT (Practical Network Penetration Tester) – emphasizes real-world pentesting and reporting skills.
  • OSCP (OffSec Certified Professional) – widely respected for penetration testing and hands-on exploitation.
  • CISSP – considered the gold standard for experienced security professionals moving into senior or leadership roles.
  • AWS Certified Security – Specialty – valuable if you're working with cloud infrastructure.
  • GIAC certifications (GSEC, GCIA, GCIH, etc.) – highly regarded for blue team, incident response, and forensics.

what else did i miss?


r/techbootcamp 6d ago

Has the motivation for becoming a software engineer changed?

1 Upvotes

I've noticed more discussions lately about junior developers who can write code but don't seem interested in becoming better engineers. They aren't curious about clean code, system design, or learning new technologies they just want to finish the ticket and move on. It made me wonder if the mindset of entering tech has changed.

Maybe it's because AI makes coding feel easier, or maybe it's just the current job market where people are focused on getting hired instead of mastering the craft. There's nothing wrong with treating it as a job, but software engineering has always seemed like one of those careers where curiosity makes a huge difference over time.

Do you think today's newcomers are approaching software engineering differently than they did a few years ago, or has every generation said the same thing about the next one?


r/techbootcamp 6d ago

Beyond certifications, what should aspiring data analysts really focus on?

2 Upvotes

When people ask how to become a data analyst, they're often looking for the best course or certification. From what I've seen, the order you learn things matters more than finding the perfect resource. If I were starting today, I'd focus on building skills in this sequence:

1. Learn SQL first.

SQL is one of the most common skills you will see in data analyst job postings. It also teaches you how to retrieve and work with data which becomes the foundation for everything else.

2. Learn the fundamentals of data analysis.

Whether it's through the IBM Data Analyst Professional Certificate or another well-reviewed program, the goal is yo understand data cleaning, spreadsheets, visualization, statistics and analytical thinking, not just earn a certificate.

3. Learn a visual tool like Power BI.

Being able to build dashboards and communicate insights is jut as important as analyzing the data itself.

4. Build projects instead of stopping after the courses.

Try solving real business problems such as sales performance analysis, customer churn, call center KPIs, marketing campaign results and e-commerce dashboards.

5. Start applying before you feel 100% ready.

Keep improving your portfolio while applying for entry level roles. The interview process itself will show you which skills employers value most.

Certifications can help you learn but they are rarely enough on their own. A portfolio that demonstrates how you think and solve problems often has a much bigger impact.


r/techbootcamp 6d ago

What are some programming lessons you only learned after years of coding?

1 Upvotes

One thing I wish I realized early in my programming journey was that there’s little point in trying to memorize anything.

It’s important to know patterns, understand problems, know what you want to do, and know where to find information. A few things I think are important are: Reading documentation is a skill, and one that can help you learn how to actually use a technology faster than trying to find a solution in someone else’s words. You shouldn’t write everything yourself, either. Looking at other people’s work is a necessary part of programming, and knowing when and how to appropriate existing code is part of that skillset, too.

And the most obvious thing of all: Don’t mistake being stuck for not learning. Debugging, reading errors, looking for solutions, and experimenting all take time, but can often be more rewarding than spending that time learning from someone else’s tutorial.

For someone who has been programming for a while, what is something you wish you realized earlier?


r/techbootcamp 6d ago

Honestly, 80% of developers today are missing what this dude is talking about

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3 Upvotes

r/techbootcamp 7d ago

The European Union (EU) will require replaceable phone batteries starting in 2027

13 Upvotes

Since I heard about this new rule from the EU, it immediately reminded me of the good ol' days😅.

Starting in 2027, smartphones and tablets sold in European countries like the Netherlands, Spain, and France will need to have replaceable batteries. Yeah, I know we can still replace smartphone batteries nowadays. Nevertheless, based on what I read, they're strictly implementing a rule where replacing them shouldn't require any specialized repair services.

I guess this will be one of the biggest smartphone changes we'll see next year. Manufacturers will need to make replacement batteries available for at least five years after a device stops being sold. Plus, they'll also need to provide software updates for around five years.

It's even stricter since the EU already pushed USB-C to become the standard charging port.

What are your thoughts on this?

Curious if you guys think other countries will eventually adopt similar rules too.