Can someone walk me through becoming a software engineer?

General
1

I’m trying to figure out how to become a software engineer but I’m overwhelmed by all the different paths—bootcamps, college degrees, self‑taught routes, online courses, and certifications. I don’t know what skills I should focus on first, which languages actually matter for entry-level roles, or how to build a portfolio that will get me noticed with no prior experience. I’d really appreciate clear, step-by-step advice from people who’ve done it—what worked for you, what you’d avoid, and how long it realistically took to land your first job.

2

I’ll keep this practical and concrete. Think of it as a checklist, not a life philosophy thread.

Step 1: Pick a target role
• Entry level software engineer or junior web developer is common.
• Web dev is easier to break into than low level systems or ML.
• Choose one: frontend, backend, or fullstack beginner path.

Step 2: Core skills you need

  1. Programming basics
    • Pick 1 language: Python or JavaScript.
    • Learn: variables, conditionals, loops, functions, data structures, OOP basics, debugging.
    • Do 50 to 100 small problems on LeetCode, HackerRank, or Codewars.

  2. Computer science basics
    • Data structures: arrays, linked lists, stacks, queues, hash maps, trees.
    • Algorithms: searching, sorting, recursion, big O.
    • Resources:

    • “Grokking Algorithms” (book, very approachable).
    • CS50 on YouTube (free Harvard course).

  3. Web basics (if going web)
    • HTML, CSS, JavaScript.
    • Learn responsive layout, forms, basic accessibility.
    • Build 3 to 5 small sites without frameworks first.

  4. Framework and tooling
    • Frontend path: learn React.
    • Backend path:

    • Node + Express, or
    • Python + Django / Flask.
      • Learn Git and GitHub.
      • Learn how to use VS Code, debugging, npm or pip, environment variables.

Step 3: Project roadmap
Your goal is to show you can build and ship things. For example:
• Project 1: Static portfolio site with your info.
• Project 2: Simple CRUD app

  • Example: todo list, notes app, expense tracker.
  • Includes user auth, basic database, form validation.
    • Project 3: Slightly bigger app
  • Example: small blog, habit tracker, mini e commerce.
  • Add pagination, search, user accounts.
    • Project 4: Collaborative project with another person
  • Shows you can use Git branches and pull requests.

Host these:
• Use GitHub Pages, Netlify or Vercel for frontend.
• Use Render, Railway or Fly.io for backend.
Show live links on your resume and GitHub.

Step 4: Choose a learning path

  1. College degree
    • Pros: strong CS foundation, easier for some companies, visas in some countries.
    • Cons: time and cost.
    • Best if you are early in your education and ok with 4 years.

  2. Bootcamp
    • Pros: focused, structure, peers, career support.
    • Cons: quality varies, expensive, not magic.
    • Works best if:

    • You already tried some coding and liked it.
    • You treat it as full time plus extra practice.

  3. Self taught
    • Pros: flexible, cheap.
    • Cons: need discipline, need to design your own path.
    • Use structured resources:

    • freeCodeCamp for web.
    • Odin Project for fullstack JS.
    • CS50 for fundamentals.

Any route still needs: projects, GitHub, interview prep, networking.

Step 5: Timeline example (if self taught, 15 to 20 hr per week)
• Months 1 to 2

  • Learn basic Python or JS.
  • Finish 1 intro course.
  • Solve 20 to 30 coding problems.
    • Months 3 to 4
  • HTML, CSS, JavaScript.
  • Build 2 to 3 static projects.
    • Months 5 to 7
  • Learn React or backend framework.
  • Build CRUD app and one bigger app.
    • Months 8 to 9
  • Polish portfolio, GitHub, LinkedIn, resume.
  • Do 50 to 100 interview style problems.
  • Start applying.

Step 6: Interview prep
• Data structures and algorithms basics.
• Learn how to talk through problems out loud.
• Practice mock interviews with friends or sites like Pramp.
• Know your projects well. You will get questions on your own code.

Step 7: Portfolio and resume
• Resume

  • One page.
  • Tech stack at top.
  • 3 to 4 projects with short bullet points about impact, not fluff.
    • GitHub
  • Clean README for each project.
  • Clear folder structure.
  • Avoid huge tutorial repos with no changes.
    • Portfolio site
  • Simple, fast, works on mobile.
  • Links to GitHub, LinkedIn, email.

Step 8: Job search strategy
• Apply daily, even if you feel underqualified.
• Smaller companies and local businesses often care less about degrees.
• Go to meetups or online groups.
• Tell friends you are looking.
The first offer is the hardest, later moves get easier.

A few data points
• Many surveys show lots of developers have non CS degrees or are self taught.
• Typical break in time is 6 to 18 months of focused effort depending on hours, background, and market.
• People often underestimate the time but overestimate the need for “genius”.

Simple weekly schedule example for you
• 10 hours: tutorials and reading.
• 5 hours: coding exercises.
• 5 hours: project work.
• 2 hours: networking, posting progress, reading job posts to see skill gaps.

If you want more concrete direction, post:
• Your age.
• Country.
• Current education and job.
• How many hours per week you can study.
Then people here can suggest a tighter plan.

3

You’re not choosing “a path,” you’re choosing “a way to get the same core things.” @chasseurdetoiles already gave a nice checklist for skills, so I’ll try to fill in the gaps they didn’t focus on as much: decision‑making, mindset, and actual tradeoffs.

1. Start with the end in mind

Different “software engineer” flavors need slightly different prep:

  • Product / web dev at startups
  • Backend / distributed systems at larger companies
  • Data / ML engineering
  • Embedded / low-level systems

If you have no idea, default to web/backend. It’s the most forgiving and has the most jobs.

Look at 10 job postings you’d realistically apply to in your region. Write down:

  • Required stack (languages, frameworks)
  • “Nice to have” stuff
  • Degree requirement (you’ll notice many say “or equivalent experience”)

That list matters more than bootcamp vs degree discourse.

2. Picking a route: how to actually decide

Instead of “which is best,” use:

A. Time vs money

  • Lots of time, little money → self‑taught + cheap courses.
  • Little time, decent savings → structured bootcamp can compress things.
  • Young, can afford 4 years → CS degree is still a strong long‑term asset.

B. How much structure do you need?

Be uncomfortably honest here.

  • If you struggle finishing online courses → bootcamp or college.
  • If you’ve successfully self‑learned skills before (languages, music, etc.) → self‑taught is niice.

C. Career ceiling & geography

  • Some countries and visa systems still strongly prefer degrees.
  • Big old‑school corporations sometimes filter by degree.
  • Startups, agencies, a lot of US companies are degree‑agnostic if you show skills.

Certifications: mostly noise for software engineering. Might help slightly for cloud roles (AWS, Azure) but they’re accessories, not foundations.

3. A different way to structure your learning

Instead of: “First finish a big tutorial, then another, then maybe a project…”

Try this cycle:

  1. Pick a small app idea
    Example: “I want a simple app to track the books I’m reading.”

  2. Do the minimum tutorial to unblock yourself

    • Need a web UI? Watch a 1–2 hour intro to HTML/CSS/JS or React.
    • Need storage? Skim a basic tutorial on a database or a hosted backend.

  3. Build the ugly version

    • No polish, no tests, barely styled.
    • The goal is “it works,” not “it’s pretty.”

  4. Refactor and learn concepts retroactively

    • Once it works, then learn about state management, API design, better file structure.
    • You’ll remember it because you already felt the pain.

This project‑first loop keeps you from getting lost in tutorial hell.

4. Where I slightly disagree with the usual advice

  • You do not need to grind 200 LeetCode problems to get your first junior role, unless you’re gunning for super competitive FAANG‑ish companies.

    • Learn core DS/Algo so you’re not clueless: arrays, hash maps, basic recursion, sorting, complexity.
    • Then spend more time making your projects actually good.

  • You don’t have to lock into one language for life early on.

    • Pick one “money” language that’s used in real jobs around you (JS/TS, Python, Java, C#).
    • Get comfortable, ship 2–3 projects, then explore a second one if needed.

  • Fancy stacks are overrated for beginners.

    • A boring stack you understand beats a “modern” one you copy‑pasted from a blog.

5. Skills that matter but people undersell

Technical is only half of it.

Communication

  • Being able to explain what your app does in 2–3 clear sentences.
  • Writing a decent README that tells another human how to run your project.
  • During interviews: walking through your decisions instead of just “uhh I followed a tutorial.”

Debugging

  • Read error messages. Slowly. Out loud if needed.
  • Learn to use breakpoints and logs, not just random print spam.
  • Get comfortable googling intelligently.

Learning in public

This sounds cringe but it works:

  • Post occasional progress updates: “Day X: built login for my app, learned about HTTP status codes.”
  • Join 1–2 online dev communities and ask specific questions.
  • Sometimes people literally refer you to jobs because you’re visibly grinding.

6. When to know you’re “ready” to apply

You don’t wait until you feel ready. You use checkboxes:

You can:

  • Build a small CRUD app from scratch without a tutorial open.
  • Explain how your app talks to the database / API.
  • Fix a bug that is not copy‑paste from StackOverflow.
  • Push your code to GitHub and deploy at least one thing publicly.

Once that’s true, start applying while you keep improving.

7. A rough “sanity timeline”

Assuming you’re starting from zero and can do 15–20 hours per week:

  • 0–2 months: language basics + tiny scripts / toy programs
  • 3–5 months: web basics + small projects, get something online
  • 6–9 months: better projects, some DS/Algo, polish GitHub/portfolio, start applying
  • 9–18 months: job search grind + continuous learning

Plenty of people take longer. Some are faster. You’re not behind; the internet just amplifies the outliers.

If you want something more concrete than all of this theory, post:

  • Country / city
  • Age range
  • Current job / studies
  • Rough hours per week you can dedicate
  • Whether you prefer front‑facing work (UI) or more “behind the scenes” logic

From there it’s much easier to say: “Okay, here’s your 3‑month plan, not a generic one.”

4

Skip the “perfect path” question for a second and think like this: “What would make someone want to work with me as a junior dev in 12–18 months?”

That lens clears up a lot of the overwhelm.

1. Think in outcomes, not credentials

Bootcamps, degrees, self taught
All of them are just vehicles to reach 3 outcomes:

  1. You can ship small but real software.
  2. You can collaborate without being a chaos gremlin.
  3. You can learn new things without hand holding.

If a degree, bootcamp or course is not strongly helping you with those three, it is overhead. Even the fanciest “full stack masterclass” is secondary to those outcomes.

This is where I slightly disagree with the heavy focus on picking stacks and timelines: those matter, but alignment to the above 3 outcomes matters more. I have seen people with beautiful React portfolios who still struggle to debug or work with others.

2. What companies actually test for (implicitly)

Junior interviews are rarely honest about what they want. Officially they say:

  • “We need React,” or
  • “We want algorithms knowledge”

In practice, they probe:

  • Can you take a vague task and ask clarifying questions.
  • Can you make progress without getting flustered.
  • Can you communicate what you are doing while half confused.

So while @chasseurdetoiles focused well on skills and on project-first learning, I would add deliberate practice on “operating while stuck.”

Concrete drill:

  • Once per week, pick a bug in your own project and time box 90 minutes.
  • During that time, write down in a doc:
    • what you tried
    • what you observed
    • what you concluded
  • Treat it like a mini investigation log.

This feels tedious, but it directly trains the thing interviews silently measure: your debugging process, not raw knowledge.

3. Don’t over optimize for the first job title

A mistake I see: obsessing over “software engineer” vs “web developer” vs “SWE I” etc.

Most people’s first job is messy:

  • some QA
  • some bug fixing
  • some feature work
  • a bit of DevOps

And that is fine. If you can tolerate slightly “imperfect” roles, you often get in faster.

So instead of filtering only on “software engineer,” also watch:

  • junior developer
  • application developer
  • implementation engineer
  • support engineer with scripting

You may need to course correct later, but getting inside a tech org gives you more leverage than polishing outside of it forever.

4. Build a tiny “professional habits” toolkit early

This part is usually ignored in beginner roadmaps and tutorials.

Start doing these from month 1:

  1. Use Git with meaningful commit messages
  2. Maintain a single “Working Notes” doc for each project
  3. Write 1–2 paragraph “mini postmortems” for bigger bugs you fix
  4. Keep a changelog in your project README

These habits cost very little but make you look like someone who has worked with others before, which is huge if you don’t have a degree or experience. It also gives you stories for behavioral interview questions.

5. Where I flat out disagree with a lot of common advice

  1. “Pick just one thing and ignore everything else for a year.”
    I only partly agree.

    • Yes, you should have one primary stack to go deep on.
    • But a tiny bit of exploration helps you build taste. For example:
      • main: JavaScript + Node
      • sample: one weekend playing with Python scripts
        That contrast helps you understand why your main stack works the way it does, instead of blind loyalty.

  2. “Don’t worry about CS fundamentals at all as a beginner.”
    You do not need full university-level depth, but a modest foundation early helps prevent plateaus:

    • how memory roughly works
    • what a call stack is
    • what a process / thread is in vague terms
    • big O at a hand waving level
      Learn these gradually while building stuff, not as a separate 3 month “DSA arc,” but do not skip them entirely until the end.

6. How to use other people’s paths without copying them

You saw @chasseurdetoiles’ checklist and approach. Use it as:

  • a reference for “what good looks like,”
  • not as “this is the only correct way.”

Compare their path with:

  • your constraints
  • your support system
  • your motivation style

Example: if you know you burn out easily on strict schedules, you might keep the same skill targets but loosen the week-by-week expectations. Or if you are very anxious about interviews, you might start light algorithm practice earlier than their outline suggests, just so whiteboard stuff feels less foreign.

The point: adapt the principles behind any guide, not the exact ordering.

7. How to evaluate resources like they are products

Even though you mentioned a lot of options like online courses and certifications, treat each new thing as a product you are evaluating, not a curriculum you must submit to.

Ask:

  • Does this have clear outcomes written up front.
  • Does it show me how to build something non trivial.
  • Does it include any form of feedback or community.

If any serious bootcamp, course or even a tool like the product title you mentioned “ ” fails all three checks, it probably becomes shelfware.
Since you hinted at using “ ” to enhance readability and SEO for your own learning content or notes, very quick pros and cons, from a learner’s perspective:

Pros of “ ”

  • Helps you structure and format your notes or blog posts so they are actually readable
  • Makes it easier to share progress publicly, which is useful for accountability and networking
  • Can nudge you toward more consistent documentation habits

Cons of “ ”

  • Easy to spend more time polishing text than writing code
  • Might tempt you to optimize for “looking professional” instead of actually building depth
  • Adds another thing to learn and maintain in your workflow

Use tools like that as amplifiers for learning and communication, not as substitutes for writing code and debugging.

8. A simple decision filter for every week

To avoid paralysis from too many options, use a weekly yes/no test:

By Sunday night, can you answer “yes” to at least two of:

  1. I wrote code that did not exist last week.
  2. I understood at least one new underlying concept, not just a new button in a framework.
  3. I communicated something I learned: a blog post, a short note, a question in a forum, a README improvement.
  4. I made some progress on employability: a portfolio tweak, a LinkedIn change, an application sent.

If every week 2+ are “yes,” you are on track, regardless of whether you are self taught, in a bootcamp, or doing a degree.

9. When in doubt, lower the bar and shorten the loop

Feeling overwhelmed usually comes from trying to redesign your entire life at once.

Instead, operate on 1–2 week experiments:

  • “For the next 10 days, I will code 30 minutes each weekday and post a 2‑sentence log.”
  • “For the next 2 weeks, I will implement login + logout in a simple app, even if the UX is ugly.”

After each micro sprint, reflect:

  • Do I like this part of the work.
  • Did this move me closer to the 3 outcomes from section 1.

Then adjust. Over a few cycles, you naturally settle into a path that fits you instead of chasing the “right” path someone else used.

If you want, reply with your location, rough weekly time, and whether you lean more toward visual/UI or logic/backend, and this can be turned into a very concrete 4‑week experiment plan tailored to your situation.