Ihtesham Ali
@ihtesham2005 • 40,420 subscribers
investor, writer, educator, and a dragon ball fan 🐉
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A community college professor taught the same study skills lecture for 30 years, and the video quietly became one of the most watched educational recordings on the internet. His name is Marty Lobdell. He spent his career as a psychology professor watching students fail not because they were lazy, but because nobody had ever taught them how their brain actually works under the pressure of learning something hard. The lecture is called "Study Less Study Smart." Over 10 million views. Passed around in Reddit threads, Discord servers, and university study groups for over a decade. And the core insight buried inside it has been sitting in cognitive psychology research for years, waiting for someone to explain it in plain language. Here is the framework that completely changed how I think about effort. Your brain does not sustain focus the way you think it does. Studies tracking real students found that the average learner hits a wall somewhere between 25 and 30 minutes. After that, efficiency doesn't just decline. It collapses. You're still sitting at your desk, still looking at the page, but almost nothing is going in. Lobdell illustrated this with a student he knew personally. She set a goal of studying 6 hours a night, 5 nights a week, to pull herself out of academic probation. Thirty hours of studying per week. She failed every single class that quarter. She wasn't failing because she lacked effort. She was failing because she had confused time spent near books with time spent actually learning. The 25-minute crash hit her at 6:30pm every night. She spent the next five and a half hours sitting in the wreckage of her own focus and calling it studying. The fix sounds almost too simple. The moment you feel the slide, stop. Take five minutes. Do something that actually gives you a small reward. Then go back. That five-minute reset returns you to near full efficiency. Across a six-hour window, the difference is not marginal. It is the difference between thirty minutes of real learning and five and a half hours of it. The second thing he taught destroyed something I had believed about how memory actually works. Highlighting feels productive. Going back over your notes and recognizing everything feels like knowing. But recognition and recollection are two completely different cognitive processes, and your brain is very good at making you confuse them. You can see something you've read before and feel completely certain you understand it, even when you couldn't reconstruct a single sentence from memory if the page were blank. He proved this live in the room. He read 13 random letters to his audience. Almost nobody could recall them. Then he rearranged the same 13 letters into two words: Happy Thursday. The whole room got all 13 without effort. Same letters. Same count. The only thing that changed was meaning. The brain stores meaning. Not repetition. The moment new information connects to something you already understand, the retention changes entirely. This is what the cognitive psychology literature calls elaborative encoding, and it is the mechanism underneath every effective study technique. The third principle was the one that hit me hardest, and the one almost nobody applies. Lobdell cited research showing that 80 percent of your study time should be spent in active recitation, not passive reading. Close the material. Say it back in your own words. Teach it to someone else, or to an empty chair if no one is around. The struggle of retrieval is where the actual learning happens. Reading your notes again is watching someone else do the work. His parting line has stayed with me longer than almost anything else I have read about learning. He told the room that if what he shared didn't change their behavior, they hadn't actually learned it. It would just live in their heads as something they had heard once and felt good about. He was right. And most people leave every lecture exactly like that. The students who remember everything aren't putting in more hours. They stopped confusing the feeling of studying with the fact of it.
Ihtesham Ali1,898,030 просмотров • 1 месяц назад
Lynn White had $0 for a lawyer and $73,000 in debt hanging over her head. She was facing eviction in Long Beach, California. Lost her first trial. The clock was running out. So she opened ChatGPT. She told it to pretend it was a Harvard Law professor. Then she told it to rip her arguments apart. Harshly. No mercy. Find every hole before opposing counsel does. It did exactly that. She rebuilt her case argument by argument, using AI feedback as her sparring partner every single night. She researched with Perplexity. She cross-checked everything. She filed her own appeal with zero legal training and zero dollars spent on representation. Then she walked into court and won. The eviction was overturned. $55,000 in penalties gone. $18,000 in overdue rent, resolved. The lawyers on the other side were so stunned they emailed her afterward. Told her if law was something she was interested in as a profession, she could certainly do the job. She was a tenant who lost her first trial. Her exact words after the verdict: "It felt like David and Goliath, except my slingshot was AI." This is the story that makes every $500/hour attorney uncomfortable. Not because AI passed the bar. But because a woman with no money, no legal background, and no second chances used free tools to beat a legal team that had all three. The legal industry has spent years arguing AI can't replace lawyers. Lynn White wasn't trying to replace anyone. She was just trying to keep her home.
Ihtesham Ali405,581 просмотров • 2 месяцев назад
I was paying $229 for Screen Studio. Then I found this repo and uninstalled it the same night. Recordly is a free, MIT licensed screen recorder and editor that ships every feature I was paying for auto-zoom animations, cursor smoothing, motion blur, native macOS capture, and a full timeline editor. → Apple-style zoom animations with automatic suggestions from cursor activity → Native ScreenCaptureKit recording on macOS 12.3+ → Cursor smoothing, motion blur, click bounce, macOS-style cursor assets → Smooth pan transitions between zoom regions → Timeline trim, speed ramps, annotations, manual zoom spans → Wallpapers, gradients, padding, rounded corners, blur, drop shadows → MP4 and GIF export at any aspect ratio → .recordly project files so you can reopen edits later macOS, Windows, Linux. Scene composition runs on PixiJS. Native Swift helpers handle macOS cursor telemetry. 8.3k stars. MIT License. 100% Opensource
Ihtesham Ali237,940 просмотров • 1 месяц назад
Unreal Engine asset packs are about to be worthless. Tencent just shipped HY-World 2.0. You type one sentence. It outputs a real 3D scene with meshes, point clouds, and 3DGS that drags straight into your game engine. Renders in real time on a consumer GPU. Phone video in, digital twin out, one forward pass. The marketplace economy of selling 3D assets just had its Napster moment.
Ihtesham Ali43,787 просмотров • 24 дней назад
This TED Talk changed my life. When I was 16, I was the kid at school nobody listened to. I would say something in class. Silence. Someone else would say the exact same thing two minutes later. The room would react. I thought it was confidence. I thought it was personality. I thought some people were just born with the ability to command a room and I wasn't one of them. I was wrong about all of it. Then I found this. Julian Treasure has spent his career studying one of the most powerful instruments on earth — the human voice. Not music. Not machines. Your voice. The one thing you use every single day and have almost certainly never been taught to use properly. Here is the framework that made me audit every conversation I had been having since I was that kid in school. He opens with what he calls the seven deadly sins of speaking. Not as metaphor. As a literal checklist of habits that cause people to tune you out before you finish your first sentence. Gossip. Judging. Negativity. Complaining. Excuses. Exaggeration. And dogmatism delivering your opinions as facts and expecting people to simply accept them. Most people commit at least three of these every day. Some do all seven before lunch. But the insight that stopped me cold was not the list of sins. It was what he said we are actually competing against every time we open our mouths. Noise. We live inside an environment of constant, aggressive, badly designed noise. Open offices. Restaurants built for aesthetics not acoustics. Phones that fracture every thought. And into that environment we send our words and then wonder why nothing lands the way we intended. The problem is almost never what you are saying. It is everything surrounding how you are saying it. His framework for doing it right spells a single word: HAIL. Honesty, authenticity, integrity, and love. Not love in the soft sense. Love as genuinely wishing the person in front of you well because if you actually want good things for someone, it becomes almost impossible to judge them at the same time. Then he opened what he called the toolbox. And this is the part nobody talks about when they share this talk. Register. Timbre. Prosody. Pace. Silence. Pitch. Volume. These are not performance tricks. They are instruments. Sitting inside you right now, completely unplayed, because nobody ever told you they existed. The research on register alone is striking. We vote for politicians with deeper voices. Not because of their policies. Because depth signals authority at a neurological level that moves faster than rational thought. Your voice is landing on people's nervous systems before their minds have processed a single word you said. The 16 year old version of me didn't have a confidence problem. He had a toolbox he didn't know existed. Nobody taught us that the voice is an instrument. Nobody told us to use its registers deliberately, to let silence do the work that words cannot, to understand that how you say something rewires how people feel about what you said. The most important TED Talk about communication isn't about what you say. It's about everything you've been doing with your voice your entire life without ever once stopping to look at it.
Ihtesham Ali73,466 просмотров • 1 месяц назад
A Carnegie Mellon professor walked onto a stage in 2007 and gave an hour-long lecture to 400 people about achieving your childhood dreams. He did not tell the room that the entire talk was actually written for his three kids, who would grow up without him. His name was Randy Pausch. The date was September 18, 2007. The video has since passed 20 million views, and the book that followed spent more than a hundred weeks on the New York Times bestseller list. Pausch was 46 years old, had been diagnosed with terminal pancreatic cancer a month earlier, and had been told he had three to six months of good health left. He did not walk onto that stage to talk about dying. He walked onto it to teach a single lesson hidden inside another one. Here is what I missed the first time I watched it. Pausch opened by doing push-ups on stage. He told the audience he was in phenomenally good shape, in better shape than most of them, and anyone who wanted to cry or pity him was welcome to get down and match him. The room laughed. Then he said the line that sets up the entire hour to come. We cannot change the cards we are dealt. Just how we play the hand. That was the frame. Everything after it was a demonstration. The lecture was officially titled Really Achieving Your Childhood Dreams, and Pausch did spend the first 40 minutes working through his actual childhood list. Zero gravity. Playing in the NFL. Writing an entry in the World Book Encyclopedia. Being Captain Kirk. Becoming a Disney Imagineer. He walked the audience through which ones he got, which ones he didn't, and what the gap between wanting and getting had actually taught him. The framework inside those 40 minutes is the part most people remember, and it is the one Pausch delivered with the most force. He called it the brick wall. He said the brick walls in your life are there for a reason. They are not there to keep you out. They are there to give you a chance to show how badly you want something. They are there to stop the people who do not want it badly enough. They are there to stop the other people. Read that again slowly. He is not saying brick walls are a test you have to pass. He is saying brick walls are a filter nature uses to separate the people who actually want a thing from the people who only like the idea of wanting it. That is a completely different claim. Most people treat obstacles as unfair. Pausch argued obstacles are the mechanism by which desire gets proven, and without that mechanism the whole concept of wanting something would be meaningless. Every dream he achieved, he achieved by treating the wall as a signal that he was close, not a signal that he should stop. The second framework he taught the audience is the one almost nobody teaches in any classroom. He called it the head fake. He pulled it from football. Coaches teach young kids to tackle by having them run drills that look like they are about tackling, but the real lesson being embedded is teamwork, grit, how to take a hit and get back up. The kid thinks they are learning football. They are actually learning something much larger, and they will not realize it until years later. Pausch said the best teaching in the world is head fake teaching. You get people to learn the thing they need by dressing it up as the thing they already want. This is the technique behind Alice, the programming software he built at Carnegie Mellon. Kids thought they were making animated movies and games. They were actually learning to code. Pausch said one of his proudest claims to fame was that he had taught programming to a generation of students who had no idea they were being taught programming at all. And then, with about three minutes left in the lecture, he ran a head fake on the room. He asked the audience if they had figured out the first head fake of the talk itself. The room went quiet. He said the lecture was never actually about how to achieve your childhood dreams. It was about how to lead your life. If you lead your life the right way, the karma takes care of itself and the dreams come to you anyway. Then he asked if they had figured out the second head fake. Even quieter. He said the talk was not for the four hundred people in the room. It was for his three kids. Dylan was six. Logan was three. Chloe was eighteen months. They would grow up without their father, and he knew it. Pausch had spent an hour on stage pretending to give career advice to strangers because he needed to record something his children could watch when they were old enough to understand who their dad had been. The entire architecture of the lecture was a message in a bottle disguised as a keynote. The filtered brick-wall philosophy, the football stories, the dreams he chased and the ones he missed, the line about playing the hand you are dealt, all of it was something a father wanted three small children to internalize after he was no longer there to say it in person. That is the moment the video stops being a lecture and starts being something else entirely. Pausch died on July 25, 2008, ten months after giving it. His final sentence on stage was that he had given the talk tonight, and then he walked off. The applause lasted nearly a minute before the camera cut. Most professors spend their entire careers trying to say one true thing their students will remember for a week. He said one true thing his children will remember for the rest of their lives, and the rest of the world is still watching the footage.
Ihtesham Ali56,086 просмотров • 1 месяц назад
A professor quit a high-paying consulting job to teach math to seventh graders in a New York public school, and what she saw in that classroom launched the most important research on human achievement of the last 30 years. Her name is Angela Duckworth, and the question that haunted her from day one was deceptively simple: why do some kids succeed and others don't? It wasn't IQ. She could see that immediately. Some of her sharpest students were underperforming. Some of her slowest were grinding past everyone else. The variable she couldn't name was right in front of her face and it took her a decade of research at Penn and Stanford to finally pin it down. Here is what she found, and why it should change how you think about every hard thing you are trying to build. She started by going back to a famous experiment from the late 1960s. A Stanford psychologist named Walter Mischel brought four-year-olds into a small room one at a time, placed a marshmallow in front of them, and told them he had to leave. If they waited until he returned, they'd get two marshmallows. If they couldn't wait, they could ring a bell and eat the one in front of them right now. Most kids lasted about thirty seconds. But what happened over the next decade is what made Mischel's study famous. When he tracked those same children down years later, the ones who had waited the longest had SAT scores 210 points higher on average than the ones who rang the bell immediately. Self-control at age four predicted academic outcomes that most educators couldn't explain even after years of watching the kids up close. Duckworth was fascinated but she was after something deeper. Self-control explained part of the picture. It didn't explain everything. She thought about her own career early, scattered, unfocused by her own admission and compared it to people she knew who had found a mission at twenty-two and never let go of it. They weren't smarter than her. They weren't working harder than her in any obvious sense. They had something else. She called it grit. And the definition matters, because the word has been diluted into a motivational poster cliché that misses the point entirely. Grit, in Duckworth's framework, is not toughness. It is not working long hours. It is not refusing to quit when things get hard, although that is part of it. Grit is the combination of passion and persistence aimed at a single long-term goal over years and sometimes decades. The passion part is often misunderstood. She does not mean excitement or enthusiasm. She means the sustained fascination with a specific problem. The thing you keep returning to even when you don't have to. She built a twelve-question test to measure it. The Grit Scale. And then she took it into the field. At the University of Pennsylvania, students with high grit scores earned higher GPAs than their peers, even when those peers had entered college with stronger test scores. At the National Spelling Bee, grit scores predicted which children survived to the later rounds more accurately than hours of practice alone. But the finding that stopped the room every time she presented it came from West Point. Every year, West Point runs thousands of incoming cadets through a brutal summer training course called Beast Barracks. The military had developed its own complex evaluation tool called the whole candidate score to predict who would make it through. It factored in academic grades, physical fitness, leadership potential. Admissions teams had been refining it for years. Duckworth gave her twelve-question grit test to over twelve hundred cadets as they arrived. Her test outpredicted the whole candidate score. The cadets who dropped out weren't the weakest physically or the least intelligent academically. They were the ones who scored lowest on passion and persistence toward a long-term goal. The ones who made it through were the ones who had a reason to be there that was bigger than any single difficult day. The finding that most people miss when they hear about this research is the distinction Duckworth draws between motivation and volition. Motivation is wanting something. Volition is the ability to keep moving toward it when the wanting isn't strong enough to carry you on its own. You can be extremely motivated to build something and still quit at the first serious obstacle because you never developed the second thing. The marshmallow kids who waited the longest weren't the ones who wanted two marshmallows more desperately. They were the ones who had learned to redirect their attention, to think abstractly about the goal, to make the immediate discomfort feel smaller than the long-term payoff. That skill is trainable. That is the part that almost never makes it into the summary. Duckworth's research shows grit is only faintly related to IQ. There are brilliant people with almost no grit and ordinary people with extraordinary amounts of it. The raw intelligence gets you to the starting line. What happens after that is almost entirely determined by whether you have the combination of a goal worth caring about for years and the discipline to keep working toward it on the days when nothing is going well. Her TED Talk on this has been watched over 17 million times, which means the idea has clearly landed somewhere real in people. But the part that usually gets quoted is the definition. The part that actually matters is harder to talk about. You cannot manufacture grit by deciding to be grittier. What you can do is find the problem you are genuinely willing to be obsessed with for a decade. Not excited about. Obsessed with. And then build the systems around that obsession that make daily persistence the default, not the exception. The marshmallow test did not sort brave children from cowardly ones. It sorted children who had already learned that discomfort is temporary from children who hadn't learned that yet. Every gritty person you have ever admired figured out one thing the rest of the room hadn't: the goal on the other side of the hard stretch is more real to them than the discomfort standing between them and it. That is not a personality type. That is a decision, made early and remade every day.
Ihtesham Ali63,134 просмотров • 1 месяц назад
A new father became so terrified of never learning anything again that he accidentally dismantled the biggest lie in education. His name is Josh Kaufman, and he wasn't a neuroscientist or a professor. He was an author working from home, running a business with his wife, with a newborn daughter who had just obliterated any concept of free time he thought he had. Around week 8 of sleep deprivation, he had the thought every parent has. I am never going to learn anything new ever again. And because he was the kind of person who responds to panic with research, he went to the library and started reading everything he could find about how humans acquire skills. He read book after book, study after study. Every single one said the same thing. 10,000 hours. He had a full-body reaction to that number. 10,000 hours is a full-time job for five years. He didn't have five years. He didn't have five hours. He had a newborn and a business and a wife who was also building a business in the same house. So he kept digging. And here is where it gets interesting. The 10,000 hour rule came from a researcher named K. Anders Ericsson at Florida State University. What Ericsson actually studied was professional athletes, world-class musicians, chess grandmasters people at the absolute tip of ultra-competitive, ultra-high-performing fields. His finding was that the people at the very top of those narrow fields had put in around 10,000 hours of deliberate practice. That is all the finding said. Then Malcolm Gladwell wrote Outliers in 2007, and the message went through a game of telephone that destroyed its meaning entirely. It takes 10,000 hours to reach the top of an ultra-competitive field became it takes 10,000 hours to become an expert, which became it takes 10,000 hours to become good at something, which became it takes 10,000 hours to learn something. That last statement is completely false. And the actual research had been showing something different the entire time. When cognitive psychologists study skill acquisition, they measure a graph that looks identical across every domain they have ever tested. At the start, performance is terrible. With a small amount of practice, it improves rapidly. Then it plateaus, and subsequent gains become much harder and slower to achieve. The steep part of that curve the jump from knowing nothing to being reasonably good happens much faster than anyone tells you. Not 10,000 hours. Not 1,000 hours. 20 hours. Kaufman tested this himself. He had always wanted to learn ukulele. He picked one up, put 20 hours of focused deliberate practice into it, and stood on a TEDx stage playing a medley of recognizable pop songs in front of a live audience. The crowd went wild. He then told them that performance was his 20th hour. But 20 hours is not just a number. There is a method inside it. The first step is to deconstruct the skill. Most things we think of as single skills are actually bundles of dozens of smaller skills. You do not need all of them. You need the ones that get you to your specific goal the fastest. In music, this means most songs use four or five chords. Learn those first. Ignore the rest until they matter. The second step is to learn just enough to self-correct. Get three to five resources books, courses, videos but do not use them as a reason to delay practice. The point of learning is not to master theory first. It is to get good enough at noticing your own mistakes that you can adjust as you go. The third step is to remove barriers to practice. Not through willpower. Through structure. If the instrument is in the case in the closet, you will not play it. If your phone is in the room, you will not focus. Kaufman was brutal about this. The environment does the work that discipline cannot sustain. The fourth step is the one that actually makes the system work. Pre-commit to 20 hours before you start. Here is why this matters. Every skill has what he called a frustration barrier. The early part of learning anything is genuinely terrible. You are incompetent and you know it. That feeling is so uncomfortable that most people quit before they ever cross to the other side of the curve. By pre-committing to 20 hours, you are making a contract with yourself to push through the frustration long enough to arrive at the part where things start clicking. The barrier to learning something new is never intellectual. It is emotional. We are afraid of feeling stupid. That fear costs most people everything they could have learned. Kaufman figured this out while holding a baby and running out of time, which is the most human possible condition for having a breakthrough. Most people are waiting for the perfect season to start. He just started. 20 hours is 45 minutes a day for a month. That is it. That is the price of going from knowing nothing to being genuinely capable at almost anything you can name. The 10,000 hour rule was never about learning. It was about becoming the best in the world. You probably do not need to be the best in the world. You just need to start.
Ihtesham Ali44,483 просмотров • 1 месяц назад
A Stanford PhD student built a system that turns any research paper into a working AI agent. It's called Paper2Agent. I watched her demo it live and couldn't believe what I was seeing. Here's exactly what happened. She pasted a 40-page NeurIPS paper into the tool. Within seconds it extracted the core method, identified the dataset, and started scaffolding agent code that actually implements the paper's approach. But the wild part was what came next. She typed: "Apply this method to my dataset and answer questions like the paper's author would." The agent didn't just summarize. It ran the methodology. On her own data. And when she asked it why it made certain decisions, it cited the exact sections of the paper. What normally takes a PhD student 3 weeks of implementation just happened in under an hour. She's not smarter than other researchers. She just stopped reading papers and started running them. (Link in the comments)
Ihtesham Ali67,874 просмотров • 2 месяцев назад
🚨 BREAKING: A research lab just released a 15B model that generates multilingual talking human videos with synced audio, beats every competitor in human evaluation, and runs in 38 seconds on one GPU. It's called daVinci-MagiHuman. The key insight is that every other model in this category stacks cross-attention, multi-stream pipelines, and separate conditioning branches to handle video and audio together. This one throws all of that out and uses a single unified self-attention stream across all modalities. Super-resolution happens in latent space rather than pixel space so there's no extra VAE decode-encode round trip. The turbo VAE decoder cuts decoding overhead even further. The distilled version runs in 8 steps with no CFG at all. Visual quality, text alignment, and word error rate all beat Ovi 1.1 and LTX 2.3 on the benchmark table. 100% Opensource. Apache 2.0. Repo and research paper links are in the comments.
Ihtesham Ali45,152 просмотров • 2 месяцев назад
In September 1997, Apple was 90 days from bankruptcy, the stock was at $3.30, and Michael Dell had publicly said the company should be shut down and the money returned to shareholders. Steve Jobs had been back for 8 weeks. No title. No salary. Technically just an advisor. He walked on stage that month, slept three hours the night before and gave a 16-minute speech that almost nobody has watched. It is the speech that saved Apple. He did not show a product. He did not show a chip. He did not show a roadmap. He spoke about one idea. Marketing is about values. Not features. Not specs. Not megahertz. He said the world had become so noisy that no company on Earth was going to get a chance to tell people more than one thing about itself. So you had to be very clear about what that one thing was. Then he said the line almost nobody quotes from that morning. Even a great brand needs investment and caring if it is going to retain its relevance and vitality. The Apple brand had clearly suffered from neglect. He admitted on stage, to his own employees, that the company they worked for had stopped caring about the thing that made it matter. Then he ran the ad. Here is to the crazy ones. The misfits. The rebels. The troublemakers. The round pegs in the square holes. The ones who see things differently. When the tape stopped, the room was silent for a few seconds. Then they stood up. The thing he did next is what most people miss when they tell this story. He had personally called Yoko Ono to get permission to use John Lennon. He had called the estates of Einstein, Gandhi, Picasso, Edison, Amelia Earhart, Martin Luther King. Almost none of them had ever appeared in an advertisement before. Almost all of them said yes to Apple specifically, when they had said no to everyone else who had ever asked. He said on stage that morning that he did not think any other company on Earth could have run that campaign. He was probably right. The campaign broke on Sunday night during the network premiere of Toy Story on ABC. The ad ran twice. Print followed in the Wall Street Journal, the New York Times, USA Today. Billboards went up in five cities. Buses with Rosa Parks' face on them started driving through Manhattan. Apple did not announce a new computer that quarter. They announced who they were. 18 months later they shipped the iMac. 3 years later the iPod. 6 years later the iTunes Store. 10 years later the iPhone. The most valuable company in the history of capitalism was rebuilt on a 16-minute talk where the founder did not show a single product. Everyone quotes the Stanford commencement speech from 2005. The one about staying hungry and staying foolish. That one made him a philosopher. The 1997 speech is the one where he saved the company. He told his employees the company had lost its soul. He told them what the soul was. He told them they were going to spend a fortune reminding the world. Then he walked off stage and went to work. The difference between a company that dies and a company that becomes the most important company in the world is sometimes one person, on three hours of sleep, willing to stand in front of his own team and say we forgot who we are. The crazy ones changed things because somebody believed they could. That somebody was him.
Ihtesham Ali13,191 просмотров • 17 дней назад
🚨 AI coding agents hallucinate because they can't actually read your codebase. This MCP server fixes that. It's called Context+ and it gives AI 99% accuracy on large-scale engineering projects by building a real semantic map of your code before touching a single line. Here's what makes it different from every other MCP tool: → Tree-sitter AST parsing across 43 file extensions. Not grep. Not regex. Actual syntax trees. → Spectral Clustering that groups semantically related files into labeled clusters. Your AI finally understands what belongs together. → Obsidian-style wikilinks that map features to code files. Navigate entire codebases like a knowledge graph. → Blast radius tracing. Before any change, it shows every file and line where a symbol is imported or used. No more orphaned references. → Shadow restore points. Every AI-proposed commit creates a restore snapshot. One command to undo any change without touching git history. → Semantic search by meaning. Ask what something does. Not what it's called. The `propose_commit` tool is the wild part. It validates changes against strict rules, creates a shadow restore point, and only then writes to disk. AI can't just freestyle your production code. Works with Claude Code, Cursor, VS Code, and Windsurf. One line to install with bunx or npx. This is what responsible AI coding infrastructure actually looks like. 100% Opensource. Link in comments.
Ihtesham Ali29,781 просмотров • 2 месяцев назад
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