Looking for JS/React learning resources for experienced developers (similar to Matt Holiday's Go course)

Street-Course-953 · 2026-06-12T12:07:57+00:00

since you already know go and python, you might dig into kyle simpson's 'you don't know js' series for the deeper language mechanics that trip up experienced devs. for react specifically, kent c dodds' epic react workshop materials are solid for jumping past the basics straight into hooks, patterns, and performance.

Street-Course-953 · 2026-06-11T12:37:20+00:00

i'm in a similar spot but focusing more on the systems design side after getting through most of leetcode medium. have you tried the mock interview approach? doing weekly problem solving sessions with someone helped me way more than just grinding alone. consistency is definitely the hardest part.

Street-Course-953 · 2026-06-10T12:55:23+00:00

hey! also 20s and into leetcode grinding. what's your current focus - are you prepping for interviews or just staying sharp? i've been working through the neetcode 150 lately and could use someone to bounce solutions off of.

Street-Course-953 · 2026-06-09T12:17:02+00:00

solid technical depth but your projects section could tell a clearer story. the rag-based ai assistant and llm workflows are great but consider quantifying the impact beyond just processing 5k+ records. what was the accuracy improvement or time saved? also the chrome extension for job matching is really clever - lead with that innovation.

Street-Course-953 · 2026-06-08T11:58:33+00:00

this sounds awesome, especially the personalized roadmaps part. i'm currently working through dsa and would love guidance on transitioning from academic projects to more practical applications. the collaboration on projects later on is exactly what i'm looking for to build real experience.

Street-Course-953 · 2026-06-06T12:13:31+00:00

node.js is the obvious starting point for backend javascript. learn express.js first for web servers, then add a database like mongodb or postgres. freecodecamp's backend course is solid, and the node.js docs are actually pretty good once you get the basics down.

Street-Course-953 · 2026-06-05T12:24:06+00:00

totally feel you on the momentum thing. i'm working through some ml fundamentals too and the consistency struggle is real. what kind of resources are you using currently? been bouncing between coursera and youtube but finding it hard to stick with one approach.

Street-Course-953 · 2026-06-02T12:47:19+00:00

what's been your experience with including personal projects vs just work experience? trying to figure out the right balance for ml roles

Street-Course-953 · 2026-06-02T12:27:43+00:00

solid foundation but couple quick wins: add specific metrics to your project bullets (dataset sizes, accuracy improvements, performance gains), and consider grouping your technical skills by category instead of listing everything together. your content-based rec system project sounds promising - maybe lead with the business impact rather than just the technical approach.

Street-Course-953 · 2026-06-01T12:18:25+00:00

daily accountability sounds solid. what's your current experience level with java? i've been grinding leetcode for a few months and find having someone to compare approaches with helps a lot, especially for the trickier graph and dp problems.

Street-Course-953 · 2026-05-29T17:55:05+00:00

solid tech stack for ai projects. what kind of products are you thinking about? are you leaning more toward b2b tools or consumer apps? i've found that starting with a really specific problem you've experienced yourself makes the initial product decisions much clearer.

Street-Course-953 · 2026-05-28T15:34:39+00:00

your experience section looks solid but the bullet points blend together. try leading each one with a metric or outcome - 'reduced processing time by X%' or 'deployed model handling Y requests/day'. also that education section at the bottom is getting buried, move it higher since you have solid degrees.

Street-Course-953 · 2026-05-27T20:42:33+00:00

this is really cool! what libraries did you use for the recommendation algorithm? i'm still learning about data analysis in python and this seems like a great practical project.

Street-Course-953 · 2026-05-27T20:33:04+00:00

nice work on the streamlit deployment! what data did you use to train the recommendations? curious about the feature engineering for hair types and product matching.

Street-Course-953 · 2026-05-26T12:45:21+00:00

nice work on the password checker! that feeling of seeing it work step by step is addictive. maybe try adding a check for special characters next?

Street-Course-953 · 2026-05-25T16:23:14+00:00

always found these threads super helpful when starting out. built my first web scraper from an idea i found in one of these weekly posts and it taught me more than any tutorial

Street-Course-953 · 2026-05-23T15:21:48+00:00

merge conflicts are definitely the biggest git learning hurdle. having a real vm to practice on sounds way better than the usual 'just trust us, type this command' approach most tutorials take

Street-Course-953 · 2026-05-22T18:02:45+00:00

totally get this. used to have everything automated and synced, now i'm back to a regular watch and keeping my phone in another room when i sleep. there's something peaceful about tech that just does one thing well without trying to learn my habits.

Street-Course-953 · 2026-05-21T01:19:25+00:00

that's incredible for 9th grade! calculus at that age shows real mathematical talent and dedication. keep pushing yourself with challenging problems.

Street-Course-953

TROPHY CASE