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A DEVELOPER PROVED YOU CAN FIND THE EXACT COMMIT THAT BROKE YOUR CODE IN A HISTORY OF 10,000 -- IN ABOUT 13 STEPS, AUTOMATICALLY.. 33 minutes from a Google engineer on git bisect: the built-in command that binary-searches your entire history to hunt down the one commit that introduced... a bug. -> The moment it lands, "When did this break?" stops being an afternoon of guessing. You hand git a good commit, a bad one, and a test and it finds the culprit while you watch. Most people debug a regression by reading diffs by hand, blaming the obvious file, and hoping. Bisect doesn't hope. It cuts the search in half, then in half again, until only the guilty commit is left standing. Reading history by hand was never the skill -> letting git do the binary search for you is. And when an AI agent dumps hundreds of commits into your repo and one quietly breaks production, bisect is what finds the needle without you reading a single line. The bug isn't hiding. It's sitting in one exact commit. Most people just never learned to make git point at it. Bookmark & Watch it today ↓show more

slash1s

14,344 subscribers

37,960 次观看 • 4 个月前 •via X (Twitter)

喜剧教育科学技术

Anya Rossi• Live Now

Private livecam show

22 条评论

Bizzi 的头像

Bizzi4 个月前

Will watch this soon, thanks bro

kachchedin 的头像

kachchedin4 个月前

The hard part lies buried in this high promise tweet. Writing tests. Yes, you have to submit the tests to the flow to be able to find the break point. Did you leave out the testing bit for later? Ha ha, this git bisect ain't for you.

cvxv666 的头像

cvxv6664 个月前

guy is speaking at a Google conference - he's clearly someone you can trust

znmop 的头像

znmop4 个月前

Bold of you to assume our tests are passing

shmidt 的头像

shmidt4 个月前

git bisect is legitimately one of those tools that feels like magic once you use it

wluha 的头像

wluha4 个月前

git bisect is one of those tools way more devs should know tbh

Nekt0 的头像

Nekt04 个月前

Clear idea

Harry Tandy 的头像

Harry Tandy4 个月前

stop guessing and let git find the culprit

𝗢𝗠𝗘𝗚𝗔 的头像

𝗢𝗠𝗘𝗚𝗔4 个月前

binary search cuts ten k down to thirteen most devs still grep the diffs instead

Dipanshu Kushwaha 的头像

Dipanshu Kushwaha4 个月前

That's impressive! Git bisect is a game changer. It's like detective work for code—solving mysteries one commit at a time!

Antid 的头像

Antid4 个月前

appreciate the share fam

0xbobaa 的头像

0xbobaa4 个月前

i don't believe it's that simple and only 13 steps

Alien Operator 的头像

Alien Operator4 个月前

Git bisect is one of those boring superpowers. Agents get flashier, but a clean binary search through history still feels like cheating in the best way.

Ridark 的头像

Ridark4 个月前

The production lifted an already excellent conversation

Adel Bucetta 的头像

Adel Bucetta4 个月前

the honest answer is, we're still in the dark ages when it comes to code reliability and debugging. this just highlights how much work we have to do on making dev tools smarter

Glen Handke 的头像

Glen Handke4 个月前

Get bisect only works as far back as you can build with your current libraries, build tools, and dependencies. In other words, it only works if the breaking change was very recent. Otherwise, you spend more time restoring packages and trying to get old checkouts to build then it would have taken to find the bug with a compare.

Gipp 🦅 的头像

Gipp 🦅4 个月前

Yes, many people just haven't learned, that's all

SLOT.WIN 的头像

SLOT.WIN4 个月前

i’ve seen coders debug for days not knowing this trick exists git bisect is the quiet cheat code no one talks about but everyone needs

rari 的头像

rari4 个月前

binary search for bugs is simple but ridiculously useful

Atenov int. 的头像

Atenov int.4 个月前

i used bisect once and it was a lifesaver

Insomnia 的头像

Insomnia4 个月前

more way why it's matter

Nick Venturi 的头像

Nick Venturi4 个月前

still going to end up manually checking the last five commits and blaming someone else

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387,056 次观看 • 5 个月前

A DEVELOPER PROVED THAT MOST OF THE LANGUAGE RUNNING EVERY WEBSITE YOU USE IS A MINEFIELD AND THAT ALMOST NO ONE WAS EVER TAUGHT WHICH PARTS ARE SAFE An hour from Douglas Crockford, the man who invented JSON, on the good parts of JavaScript buried under a pile of blunders nobody warned you about. -> The moment it lands, every weird bug makes sense. The language never had time to be polished. It went global in months, bad parts and all, and you inherited every one of them. Global variables. Silent semicolon insertion. eval. Coercion that turns a simple comparison into a coin flip. Most people never learned to avoid them -- they just lose hours and blame themselves. Writing JavaScript that runs was never the skill -> knowing which half of it to never touch is. And when an AI agent happily generates the bad parts at scale, the person who knows the safe subset is the one who catches it before it ships. Everyone writes JavaScript. Almost no one was shown the line between the parts that save you and the parts that quietly burn you. Bookmark and Watch it ↓

A DEVELOPER PROVED THAT MOST OF THE LANGUAGE RUNNING EVERY WEBSITE YOU USE IS A MINEFIELD AND THAT ALMOST NO ONE WAS EVER TAUGHT WHICH PARTS ARE SAFE An hour from Douglas Crockford, the man who invented JSON, on the good parts of JavaScript buried under a pile of blunders nobody warned you about. -> The moment it lands, every weird bug makes sense. The language never had time to be polished. It went global in months, bad parts and all, and you inherited every one of them. Global variables. Silent semicolon insertion. eval. Coercion that turns a simple comparison into a coin flip. Most people never learned to avoid them -- they just lose hours and blame themselves. Writing JavaScript that runs was never the skill -> knowing which half of it to never touch is. And when an AI agent happily generates the bad parts at scale, the person who knows the safe subset is the one who catches it before it ships. Everyone writes JavaScript. Almost no one was shown the line between the parts that save you and the parts that quietly burn you. Bookmark and Watch it ↓

slash1s

13,073 次观看 • 4 个月前

A screen recording is the best context you can give an AI agent. It's also the worst. A few seconds of video is thousands of images. Feed that to an agent and you instantly blow up its memory. So I built a tool that fixes it. How it works: Hit record and just do your thing. Click around, type, and talk out loud about what you're doing. While you record, it quietly captures the stuff that actually matters: your voice transcription, every click and the exact thing you clicked, what you typed, and the shortcuts you press. When you stop, it doesn't hand the agent the whole video. It writes a short, readable summary: a timeline of what you said and did. The agent reads that tiny summary first. Then, only when it needs to actually see a moment, it pulls that one exact frame from the video, like flipping to a single page instead of reading the whole book. The result: the agent understands everything you did! Full context. Less tokens.

A screen recording is the best context you can give an AI agent. It's also the worst. A few seconds of video is thousands of images. Feed that to an agent and you instantly blow up its memory. So I built a tool that fixes it. How it works: Hit record and just do your thing. Click around, type, and talk out loud about what you're doing. While you record, it quietly captures the stuff that actually matters: your voice transcription, every click and the exact thing you clicked, what you typed, and the shortcuts you press. When you stop, it doesn't hand the agent the whole video. It writes a short, readable summary: a timeline of what you said and did. The agent reads that tiny summary first. Then, only when it needs to actually see a moment, it pulls that one exact frame from the video, like flipping to a single page instead of reading the whole book. The result: the agent understands everything you did! Full context. Less tokens.

Milind S

12,486 次观看 • 4 个月前

THIS IS F*CKING OBSCENE opus 5.5 got Fortnite running inside Minecraft and Minecraft running inside GTA 5, with nobody's permission and nobody's documentation three engines, three completely different ways in, and one of them has no way in at all THREE GAMES, THREE DIFFERENT WAYS IN → Minecraft is Java and ships a loader on purpose. that one is the front door. you write against an interface somebody meant for you to use → GTA 5 has no modding api and no front door. you get a compiled binary and nothing else, and the only route in is to read it → Fortnite is a live service with anti cheat sitting on top. there is no way in at all, and that single fact changes the entire job WHAT READING A BINARY ACTUALLY MEANS → no source, no comments, no function names. you recover what code does from what it is, which is the opposite direction from how it was written → the exact build gets pinned before anything else, because one patch moves every address underneath you, and a different version is a different game → nothing counts until it is confirmed inside the running process. launch it, play it, look at it. opus 5.5 does the reading, the pinning and the checking, and that loop is the part that used to be a team and a year WHAT THIS ACTUALLY CHANGES → reverse engineering was the most expensive skill in modding. one person, one binary, months of evenings, and the knowledge died with the project → now it is a loop that runs while you sleep, and what comes out of it is not a guess, it is something that got checked against the game while the game was running → so the hard question stopped being whether you can get into an engine. it is what you do once you are standing in three of them at once one layer was read out of a binary one came through the front door one was never touched at all, and it still had to land right

THIS IS F*CKING OBSCENE opus 5.5 got Fortnite running inside Minecraft and Minecraft running inside GTA 5, with nobody's permission and nobody's documentation three engines, three completely different ways in, and one of them has no way in at all THREE GAMES, THREE DIFFERENT WAYS IN → Minecraft is Java and ships a loader on purpose. that one is the front door. you write against an interface somebody meant for you to use → GTA 5 has no modding api and no front door. you get a compiled binary and nothing else, and the only route in is to read it → Fortnite is a live service with anti cheat sitting on top. there is no way in at all, and that single fact changes the entire job WHAT READING A BINARY ACTUALLY MEANS → no source, no comments, no function names. you recover what code does from what it is, which is the opposite direction from how it was written → the exact build gets pinned before anything else, because one patch moves every address underneath you, and a different version is a different game → nothing counts until it is confirmed inside the running process. launch it, play it, look at it. opus 5.5 does the reading, the pinning and the checking, and that loop is the part that used to be a team and a year WHAT THIS ACTUALLY CHANGES → reverse engineering was the most expensive skill in modding. one person, one binary, months of evenings, and the knowledge died with the project → now it is a loop that runs while you sleep, and what comes out of it is not a guess, it is something that got checked against the game while the game was running → so the hard question stopped being whether you can get into an engine. it is what you do once you are standing in three of them at once one layer was read out of a binary one came through the front door one was never touched at all, and it still had to land right

Roxx

195,977 次观看 • 16 天前

IN 1986 MIT FILMED THE LECTURE WHERE CODE STOPPED BEING CODE AND BECAME DATA 43 minutes from Gerald Sussman, in the most legendary intro programming course ever recorded. -> The idea that lands: to a program, your code is just data it can read and rewrite. He builds a program that does real calculus -- not by crunching numbers, but by reading the math as a list and transforming it piece by piece. Then he shows the trick hiding under all of it: in this language, code and data are the same material. Forty years later that is exactly what an AI coding agent is -- a program that reads your code as data, rewrites it, and hands it back. Sussman drew the whole idea on a blackboard in 1986. Writing code was never the deepest skill -- understanding that code itself is data a program can manipulate is. This is where you learn it. Most people think AI writing code is brand new. The ones who watch this saw the blueprint 40 years ago. Bookmark & Watch it. This one's a legend ↓

slash1s

22,107 次观看 • 4 个月前

Can your agent finally edit your videos? Yup, it's a repo called video use, by Browser Use. You put the raw footage in a folder. Then Claude Code or Codex edits it. It removes the filler words, cuts the dead space, adds the subtitles, and renders the file. Then it checks its own cut points. Most creators use the same small set of edits in every video. That style stays in your head and in your hands. This repo puts it in a file that an agent can read. People ask for a full YouTube channel on day one. They see bad results, and they stop. Start with one format instead. - One founder loom into a 60 second launch video - 3 clips out of one podcast recording Then make the format a system. Then you operate the system, or you sell it. - Real estate agents need listing videos - Coaches need clips - Agencies need ad variations Manual installation with git clone is possible. For 95% of people, the agent is faster. Here's how i intalled it: - Gave the setup prompt to Claude Code with shell access - Let it read install.md - Installed the repo - Connected FFmpeg - Registered the skill

Can your agent finally edit your videos? Yup, it's a repo called video use, by Browser Use. You put the raw footage in a folder. Then Claude Code or Codex edits it. It removes the filler words, cuts the dead space, adds the subtitles, and renders the file. Then it checks its own cut points. Most creators use the same small set of edits in every video. That style stays in your head and in your hands. This repo puts it in a file that an agent can read. People ask for a full YouTube channel on day one. They see bad results, and they stop. Start with one format instead. - One founder loom into a 60 second launch video - 3 clips out of one podcast recording Then make the format a system. Then you operate the system, or you sell it. - Real estate agents need listing videos - Coaches need clips - Agencies need ad variations Manual installation with git clone is possible. For 95% of people, the agent is faster. Here's how i intalled it: - Gave the setup prompt to Claude Code with shell access - Let it read install.md - Installed the repo - Connected FFmpeg - Registered the skill

The Startup Ideas Podcast (SIP) 🧃

15,605 次观看 • 2 个月前

ANTHROPIC LEAKED 6 RULES THAT LET ONE FOLDER REPLACE A WHOLE AI ENGINEERING TEAM COSTING $3.2M A YEAR folder with 6 files replaced the AI engineers - and the team that spent 4 years writing them isn't needed anymore. file → commit → description matches → loads → runs → leaves a prompt has no history, a folder has a git log - one commit updates every session at once, and every edit shows up in the diff. two prompts fight over one window - two skills just both apply, and nobody merges anything by hand. 8 skills sit on disk, one enters the context - the other seven cost zero tokens until the description matches. a prompt can only ask - the folder carries build py and template.docx inside it, so the deterministic parts stay deterministic. the same skill works in Claude Code, in Cowork and through the API - a prompt lives only in the window you pasted it into. and the main one: a skill leaves the window when it's done - a prompt never leaves. save this - 6 rules, one folder, zero copy-paste ↓

ANTHROPIC LEAKED 6 RULES THAT LET ONE FOLDER REPLACE A WHOLE AI ENGINEERING TEAM COSTING $3.2M A YEAR folder with 6 files replaced the AI engineers - and the team that spent 4 years writing them isn't needed anymore. file → commit → description matches → loads → runs → leaves a prompt has no history, a folder has a git log - one commit updates every session at once, and every edit shows up in the diff. two prompts fight over one window - two skills just both apply, and nobody merges anything by hand. 8 skills sit on disk, one enters the context - the other seven cost zero tokens until the description matches. a prompt can only ask - the folder carries build py and template.docx inside it, so the deterministic parts stay deterministic. the same skill works in Claude Code, in Cowork and through the API - a prompt lives only in the window you pasted it into. and the main one: a skill leaves the window when it's done - a prompt never leaves. save this - 6 rules, one folder, zero copy-paste ↓

Sprytix

11,389 次观看 • 2 个月前

A DEVELOPER PROVED THAT MOST OF THE CLASSES YOU WRITE SHOULD NEVER HAVE BEEN CLASSES AT ALL 27 minutes from Jack Diederich, a Python core developer, on how much of your code is just a function wearing a costume. -> The moment it lands, the rule is brutal: if a class has two methods and one is __init__, you meant to write a function. Most people add structure to feel like real engineers. It just adds weight no one ever needed. Writing more code was never the skill -> writing less of it is. And when an AI agent happily generates ten classes for a job that needed three lines, the person who knows what to delete is the one who ships something clean. Anyone can add abstraction. Knowing when not to is the whole job. Bookmark it and Watch ↓

A DEVELOPER PROVED THAT MOST OF THE CLASSES YOU WRITE SHOULD NEVER HAVE BEEN CLASSES AT ALL 27 minutes from Jack Diederich, a Python core developer, on how much of your code is just a function wearing a costume. -> The moment it lands, the rule is brutal: if a class has two methods and one is init, you meant to write a function. Most people add structure to feel like real engineers. It just adds weight no one ever needed. Writing more code was never the skill -> writing less of it is. And when an AI agent happily generates ten classes for a job that needed three lines, the person who knows what to delete is the one who ships something clean. Anyone can add abstraction. Knowing when not to is the whole job. Bookmark it and Watch ↓

slash1s

271,119 次观看 • 4 个月前