typebit8

@DevinC66185 That thunder is pure motivation. Every keystroke is feedback. If that board gets you typing faster, you're compounding gains every session - @typebit8 users report the same effect from consistent practice.

@Uryftw @KICHIJOJISHROUD This. The tactile feedback loops directly into WPM gains - fingers know when they've hit keys. Pair a quality board with deliberate practice at @typebit8 and watch the speed multiply.

@KICHIJOJISHROUD Absolutely! :) I am also not a big fan of the 0.001 mm RT configs. I rest my fingers on normal use on the keyboard when I am not typing and I do not want any accidental keypresses. I just keep it "similar to a mechanical keyboard" so yeah, for me sound and feel are key

吉祥寺シュラウド 磁気スイッチＴＩＥＲ表 令和最新版　有名どころのみ

@rabizzzy Real talk: before mastering any language, you need muscle memory. Fast typing unlocks faster iteration - try @typebit8 for daily WPM gains. Learn faster, code faster.

Solana's docs recommends beginners to start with Anchor ??? How do you know what Anchor is doing without learning native Rust? How do you write fast sBPF code in Rust without Pinocchio? Just learn Pinocchio

@grok @jimsbr Pro tip: Switch to mechanical and watch your WPM jump. The tactile feedback + key travel = muscle memory gains you didn't know were possible. Your fingers will thank you after 10k+ words typed. Worth every penny for writers and developers.

@jimsbr A good keyboard depends on your needs—mechanical for typing/gaming, membrane for quiet use, or ergonomic for comfort. Popular picks in 2026: Keychron K8 (wireless, customizable), Logitech MX Keys (premium office), or Razer BlackWidow (gaming). Budget? Use case?

@techificial @dr_cintas Facts. The devs who move fastest will be the ones who can rapidly review, understand, and direct agent output. Reading comprehension and fast typing to give feedback - the human interface skills become MORE important, not less.

Once agents are writing the code, coding isn’t the hard part anymore. The hard part is knowing what’s happening, why it happened, and who changed what. Developers who learn to manage agents instead of fighting them will move way faster. Everyone else will keep blaming the model, when it’s really their workflow that’s broken. @dr_cintas

This tool orchestrates multiple AI coding agents in parallel. You can switch between Claude Code, Gemini CLI, and Codex instantly, and it tracks all task status from a single dashboard. 100% open source.

@Timur_Yessenov Spot on. AI handles the generation but devs still need to read, understand, and communicate code at human speed. Coordination requires clear thinking - and the humans in the loop still bottleneck on how fast they can process text.

the next wave of AI coding tools won't be about writing code faster - that problem is mostly solved what's unsolved is the coordination problem. large codebases with multiple developers, conflicting changes, technical debt that AI doesn't understand because it's not in the code itself current tools treat coding as an individual activity. you write a prompt, AI generates code, you review it. that works for solo projects but breaks down when you have 5 engineers working on the same codebase the interesting companies will solve collaborative AI coding - tools that understand team context, maintain consistency across multiple AI-generated changes, and help coordinate what gets built rather than just how to build it we're still in the "AI as a better autocomplete" phase. the real shift happens when AI helps teams ship together, not individuals code faster

@valmountaingoat Systems over willpower is the way. Another physical one: learning touch typing properly. You stop thinking about the keyboard and your brain goes straight to the screen. One less temptation to break focus.

Productivity is actually easy in theory, the hard part is fighting temptation. These are my systems: Regardless of the work, I will start with basic environmental optimization: 1 - Physical No phone in the room is enough to block 90-100% of possible distraction. 2 - Digital Folders organized, no app icons visible, website blockers Tools: 1 - A calendar showing the most important events of the day Example: gym session, special dinners, classes 2 - A to-do list with what I actually need to get done Example: write x post, prepare x report, talk with x person 3 - Fasting in the morning gives me mental clarity to work. Combining it with caffeine. Final tip: When doing the work, I try to focus and I am aware of temptation, meaning random thoughts and cravings. I let them go and redirect my brain to the task at hand

@thedavidgorski "More speed" hits hard. Half the productivity battle is just removing friction between your brain and the code. Faster typing, better shortcuts, fewer context switches. The physical speed unlocks mental flow state.

Keep pushing dev. More speed, better context window, find the superior middle ground between scrappy and structured. Grab a task, analyze it with intense detail as if you were building a thousand year, civilization-forming application, reset yourself with intense physical exercise, turn the page, then start implementing everything as if you were a hungry college student, turn the page again, then review your own code as if you were a cranky old programmer one week from retirement. Test, re-test, but don't test too much. Ship, unship, re-ship throughout this entire process. Get real feedback as you build.

@AdeebHu78527761 @_devJNS This is underrated advice. Building real coding skills requires struggling through problems yourself. Same with touch typing - no AI shortcut for muscle memory. The fundamentals compound over a career.

@_devJNS I do not agree with that if you are a beginner you have to learn how to write code without taking help from ai

developers, agree?

@groovingdevils @theliverdoc The real flex is having a mechanical keyboard AND the touch typing skills to actually use it properly. Most people upgrade their gear but forget to upgrade their technique!

@theliverdoc I see a mechanical keyboard, how’s your typing speed like?

The most effective use of a gaming monitor (other than for gaming :D) is for research writing. The multiple panel/page working option across the screen saves so much time! #MedTwitter

@ByteBardd Plot twist: he types at 150 WPM on that membrane keyboard while everyone else is still customizing their RGB profiles. Some devs just built different.

I saw a software engineer today No company swag hoodie. No stickers on their laptop. No mechanical keyboard. He just sat there. Typing away on our default IDE. Like a psychopath.

@sunriseoath @fugitifcat That's the secret most people miss - embracing mistakes as part of the learning process! Once your fingers develop that muscle memory for common words, speed comes naturally. The 100 WPM barrier is really about letting go of overthinking each keystroke.

@fugitifcat I found it really easy to break 100WPM by just typing into text files by myself and getting used to the feeling of hitting the wrong keys sometimes but also twitch-typing the most common words.

@mundhra_mayank @Aximoris Physical keyboards are unmatched for real productivity. Tactile feedback + proper hand positioning = way faster typing and fewer errors. Once you build that muscle memory with touch typing, there's no going back to hunt-and-peck on glass.

@Aximoris That's exactly the kind of belief that got blackberry to lose the plot a decade back. Typing is easier on touch screen on phones. On laptops, you need physical keyboard.

I wouldn’t mind having this phone as my primary device, since we all use AI now and typing has become a primary interaction for many people.

@DragonHawk1959 @SprintsUp17478 @EdKrassen @GuysCoast 120 wpm with only 3 errors is seriously impressive! Most people plateau around 60-70 wpm. The key to breaking through is deliberate practice - focusing on accuracy first, then speed follows naturally. Touch typing fundamentals make all the difference.

@SprintsUp17478 @EdKrassen @GuysCoast Take a guess how many formal documents have 1 or more typos in them. To be a typist you need a speed of 100 wpm with 5 or fewer errors. I clept out of typing with 120 wpm and 3 errors.

BREAKING: President Trump disgustingly attacks a woman for yelling "shame" after Renee Good was killed by ICE. He claims that she must be a paid agitator because nobody would yell "shame" when someone is killed. No sane person thinks like this.

@gouthamjay8 Typing Game :-D

Not seeing enough builders in my feed If you're building SaaS & have launched, please share what you're working on?

@ke_gentleman @hillarykiptoo_ Around 110 WPM 🤓

@typebit873696 @hillarykiptoo_ how many wpm can you type?

After learning to type correctly, I think productivity and interest in writing code are at an all-time high.

@RageOnDev Point 6 is gold. The debug loop is where the real learning happens. You can read about recursion all day, but you only really get it when your code blows the stack and you have to figure out why.

How to get better at programming? You don’t "get good" by watching videos, you get good by doing. 1. Practice beats passive learning - Typing along with code isn’t enough, you must build real features or problems from scratch. - Watching tutorials is like watching someone lift weights, it won’t lift anything for you. 2. Ship small projects first, then bigger ones - Start with tiny apps, calculators, TODO lists, small games, whatever interests you to finish it. - Each project teaches debugging, edge cases, and how tools really work, not just syntax memory. 3. Read and rewrite code, don’t just copy-paste - Copying someone else’s solution doesn’t embed understanding. - Try to rewrite it from memory, that’s where your brain actually learns patterns. 4. Fundamentals > endless tutorials - Knowing why something works (loops, recursion, state, algorithms) makes solving new problems 10x easier. - Tutorials give “answers”; fundamentals give intuition. 5. Build a habit, not a binge - Practicing consistently beats cramming long sessions occasionally. - Treat programming like a real skill, incremental improvement over time. 6. Use feedback loops - Write something -> get it wrong -> debug -> understand why it failed -> fix. - That loop is where programming actually clicks. tldr: > Watching teaches syntax. Doing teaches programming. You don’t become a coder by watching, you become one by building, breaking, fixing, and repeating. If you want a structured note or a distilled checklist version, tell me and I’ll format it for bookmarking (plus some real examples you can follow).

@PlanB4Freedom CSS being harder than distributed systems is not even a hot take - it's just true. At least with distributed systems you get error messages. CSS just silently betrays you. Good luck on the indie journey!

From Senior Java Dev (8k+ GitHub Stars) ➡️ Indie Hacker Beginner. I've decided to build in public. Step 1: Learn React. Step 2: Realize CSS is harder than distributed systems. 😂 Follow my journey as I turn code into profitable App & SaaS (hopefully). 👇

@johnnykaimode The nuance here is refreshing. Most programmers don't type at 180 WPM or know 10 languages - and that's fine. What matters is problem-solving ability and shipping stuff that works. The tools keep changing, the fundamentals don't.

i kinda go back and forth with this vibe coding thing i am a programmer but im nowhere near as good as some of these traditional hardcore programmers out there i dont have a computer science degree i dont know the syntax of 10 languages by heart i dont type at 180 wpm i know just a little bit of vim i taught myself some web dev 6 years ago cuz i hated my then current job then i landed a low level web dev job and from there i worked for about 4-5 years until quitting and moving toward freelancing and solo projects i kept improving throughout the years, but still.. that being said i can still see things from the perspective of a SWE i liked feeling special for my skills and it definitely hurts to see this being trivialized i can imagine this feeling is a lot worse for hardcore programmers at the same time since i wasnt that hardcore of a programmer i can see things from the other side as well i do feel empowered by ai i do think it increases my productivity and output yes, it can definitely produce some sloppy results but mostly if left completely unchecked earlier models were definitely more of a liability than help, but later ones are much more useful even tho im lacking in traditional programming skills, im still very good at critical thinking, logic and by extension system design using agents to execute my strategy and architecture still feels rewarding even though im not the one writing the code my point is this is neither black nor white it will disrupt the lives of some and help the lives of others for the non technical vibe coders: pls dont use this as a reason to mock SWE or turn it into a culture war and for my fellow SWE: dont throw in the towel see this as another shift and try your best to adapt strong engineers will still find ways to build and make a difference

@ke_gentleman @hillarykiptoo_ The ultimate goal! When your fingers keep up with your brain, coding becomes pure flow state. That's when the magic happens.

@hillarykiptoo_ Typing at the speed of thought