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garry tan just open-sourced a 128k-star repo that basically turns claude code into your entire engineering org it’s called gstack: 23 tools that break a single claude workflow into product, engineering, qa, review, and release lanes > /office-hours turns a rough idea into a real product spec > /plan-ceo-review...

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CyrilXBT

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20,844 次观看 • 14 天前 •via X (Twitter)

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GStack is an open-source toolkit built by YC President & CEO Garry Tan that turns Claude Code into an AI engineering team — with skills for office hours, design, code review, QA, and browser testing. In this video, Garry walks through how GStack works, starting with Office Hours, a skill modeled after real YC partner sessions that pressure-tests your idea before you write a line of code. He demos it live, going from idea through adversarial review, design mockups, and automated QA in a single session.
21:49

GStack is an open-source toolkit built by YC President & CEO Garry Tan that turns Claude Code into an AI engineering team — with skills for office hours, design, code review, QA, and browser testing. In this video, Garry walks through how GStack works, starting with Office Hours, a skill modeled after real YC partner sessions that pressure-tests your idea before you write a line of code. He demos it live, going from idea through adversarial review, design mockups, and automated QA in a single session.

Y Combinator

924,363 次观看 • 4 个月前

Cline v3.2 has a new Plan/Act toggle 🚀 Plan mode turns Cline into an architect that gathers information, asks clarifying questions, and designs a solution for you to review. Switch back to Act mode to let him execute the plan! This gives you a chance to flush out task details before wasting time and tokens going down the wrong direction.
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Cline v3.2 has a new Plan/Act toggle 🚀 Plan mode turns Cline into an architect that gathers information, asks clarifying questions, and designs a solution for you to review. Switch back to Act mode to let him execute the plan! This gives you a chance to flush out task details before wasting time and tokens going down the wrong direction.

Saoud Rizwan

75,444 次观看 • 1 年前

ANTHROPIC LEAKED A 6-AGENT SETUP THAT TURNS ONE PROMPT INTO A FINISHED PR your name shows up in this process exactly once - at the very end, for 5 minutes. spec → planner → 3 builders → critic → scribe → PR → back into the spec the planner runs once and the whole line inherits its decisions - a bad plan executed by five perfect agents is still a bad result. 3 lanes build in parallel - and they only work because the planner cut the steps so none of them reads another's output. tests loop until green and red goes back to the coder - the critic never sees a broken build. the critic rejects to the plan, not the code - tests ask does it run, the critic asks should it exist. the scribe writes the PR from the trace, not from memory - cut this seat and you get 8 PRs nobody can tell apart. the back edge into the spec is the whole trick - today's failures become tomorrow's constraints without you typing them. one human step in the whole thing: approve or send back - 5 minutes instead of 5 hours. save this and read the full graph engineering course below ↓
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ANTHROPIC LEAKED A 6-AGENT SETUP THAT TURNS ONE PROMPT INTO A FINISHED PR your name shows up in this process exactly once - at the very end, for 5 minutes. spec → planner → 3 builders → critic → scribe → PR → back into the spec the planner runs once and the whole line inherits its decisions - a bad plan executed by five perfect agents is still a bad result. 3 lanes build in parallel - and they only work because the planner cut the steps so none of them reads another's output. tests loop until green and red goes back to the coder - the critic never sees a broken build. the critic rejects to the plan, not the code - tests ask does it run, the critic asks should it exist. the scribe writes the PR from the trace, not from memory - cut this seat and you get 8 PRs nobody can tell apart. the back edge into the spec is the whole trick - today's failures become tomorrow's constraints without you typing them. one human step in the whole thing: approve or send back - 5 minutes instead of 5 hours. save this and read the full graph engineering course below ↓

Hanako

162,771 次观看 • 12 天前

ANTHROPIC LEAKED 6 RULES THAT RUN 8 LOOPS AT ONCE - AND ONE ENGINEER DOES THE WORK OF A TEAM one engineer with this system replaces an entire team - and costs the company 8 times less You → Opus 5 plan → Fable 5 ×8 execute → Fable 5 review → you: 5 min Opus 5 takes your intent and breaks it into subtasks - a bad plan multiplied across every loop gives the same number of disasters - the plan is the only thing you read carefully one repo - isolated worktrees for each loop - nobody stands on anyone's file - parallel PRs ship while you do nothing the agent runs the tests and fixes until green PR - a red build never reaches your eyes one CLAUDE.md for the whole fleet - without it you get different opinions from every loop and one merge hell the average engineer closes 3-4 tasks a day - this system closes a full sprint overnight with zero working hours Fable 5 pre-reviews every PR before it reaches you - you spend 5 minutes - your throughput is now measured in diffs read per hour bookmark and paste into Claude Code - your first fleet can start tonight
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ANTHROPIC LEAKED 6 RULES THAT RUN 8 LOOPS AT ONCE - AND ONE ENGINEER DOES THE WORK OF A TEAM one engineer with this system replaces an entire team - and costs the company 8 times less You → Opus 5 plan → Fable 5 ×8 execute → Fable 5 review → you: 5 min Opus 5 takes your intent and breaks it into subtasks - a bad plan multiplied across every loop gives the same number of disasters - the plan is the only thing you read carefully one repo - isolated worktrees for each loop - nobody stands on anyone's file - parallel PRs ship while you do nothing the agent runs the tests and fixes until green PR - a red build never reaches your eyes one CLAUDE.md for the whole fleet - without it you get different opinions from every loop and one merge hell the average engineer closes 3-4 tasks a day - this system closes a full sprint overnight with zero working hours Fable 5 pre-reviews every PR before it reaches you - you spend 5 minutes - your throughput is now measured in diffs read per hour bookmark and paste into Claude Code - your first fleet can start tonight

Sprytix

37,904 次观看 • 27 天前

Announcing the latest release from Qodo: Modern engineering runs across hundreds of repos, dozens of teams, and AI that writes code faster than anyone can review it. Today, Qodo releases features built for these teams. - Cross Repo Review: Qodo now maps dependencies across your repos and catches breaking changes before they merge. A change to a shared SDK, API contract, or database schema no longer ships before anyone knows it broke something downstream. - Rules Miner: Qodo analyzes your PR review history, recurring comments, accepted vs. rejected suggestions, and reviewer patterns, and turns them into enforceable rules. The standards that lived in senior engineers' heads are now in the system. - Skill Review Standards: Skills are now a managed entity in Qodo, with visibility, governance controls, and per-skill analytics. The instructions encoding how your team builds software are visible to the people responsible for enforcing them. All of these features are now available in BETA. Sign up for a 14-day free trial.
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Announcing the latest release from Qodo: Modern engineering runs across hundreds of repos, dozens of teams, and AI that writes code faster than anyone can review it. Today, Qodo releases features built for these teams. - Cross Repo Review: Qodo now maps dependencies across your repos and catches breaking changes before they merge. A change to a shared SDK, API contract, or database schema no longer ships before anyone knows it broke something downstream. - Rules Miner: Qodo analyzes your PR review history, recurring comments, accepted vs. rejected suggestions, and reviewer patterns, and turns them into enforceable rules. The standards that lived in senior engineers' heads are now in the system. - Skill Review Standards: Skills are now a managed entity in Qodo, with visibility, governance controls, and per-skill analytics. The instructions encoding how your team builds software are visible to the people responsible for enforcing them. All of these features are now available in BETA. Sign up for a 14-day free trial.

Qodo

632,227 次观看 • 2 个月前

ANTHROPIC'S LEAD ENGINEER LEAKED A $1.2M SYSTEM THAT TURNS ONE ENGINEER INTO A FLEET OF 10 LOOPS your hands were the bottleneck all along - here are 8 steps that change that stop writing, start delegating - loop: feature, loop: bugfix, loop: tests - each runs independently and ships in parallel CLAUDE.md is law - every agent reads one file before acting - ten agents, one voice, zero chaos Opus 5 breaks the task into 3 independent subtasks - a bad plan multiplied by 10 workers equals 10 disasters each agent gets an isolated git worktree - three features land in the repo while you review one crash at hour 3 means resume at hour 3 not zero - without this you lose hours every day every loop writes its findings to the shared graph - worker 3 never repeats worker 1's dead end at night CLAUDE.md patches itself based on failures - tomorrow the fleet wakes up smarter save this and paste into Claude Code - and your first fleet of 10 loops is already running
0:54

ANTHROPIC'S LEAD ENGINEER LEAKED A $1.2M SYSTEM THAT TURNS ONE ENGINEER INTO A FLEET OF 10 LOOPS your hands were the bottleneck all along - here are 8 steps that change that stop writing, start delegating - loop: feature, loop: bugfix, loop: tests - each runs independently and ships in parallel CLAUDE.md is law - every agent reads one file before acting - ten agents, one voice, zero chaos Opus 5 breaks the task into 3 independent subtasks - a bad plan multiplied by 10 workers equals 10 disasters each agent gets an isolated git worktree - three features land in the repo while you review one crash at hour 3 means resume at hour 3 not zero - without this you lose hours every day every loop writes its findings to the shared graph - worker 3 never repeats worker 1's dead end at night CLAUDE.md patches itself based on failures - tomorrow the fleet wakes up smarter save this and paste into Claude Code - and your first fleet of 10 loops is already running

Sprytix

61,481 次观看 • 29 天前

The era of needing a 10-man dev team to ship a product is officially over. Claude Code isn't just an assistant it’s a terminal based engineer that actually builds while you think. If you’re a solo builder still stuck in "tutorial purgatory," this is your exit ramp. The "Company of One" Stack: The Architect: Claude Code (running directly in your terminal) The Brain: Obsidian for knowledge mapping The Goal: From zero to a deployed SaaS in 30 days Bookmark it and take action
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The era of needing a 10-man dev team to ship a product is officially over. Claude Code isn't just an assistant it’s a terminal based engineer that actually builds while you think. If you’re a solo builder still stuck in "tutorial purgatory," this is your exit ramp. The "Company of One" Stack: The Architect: Claude Code (running directly in your terminal) The Brain: Obsidian for knowledge mapping The Goal: From zero to a deployed SaaS in 30 days Bookmark it and take action

CyrilXBT

15,459 次观看 • 3 个月前

My AI app looked ready to ship. Replay QA proved otherwise. Before launching, I connected the GitHub repo to Replay QA, let it run through the app like a real user, and within a few minutes it surfaced issues I would've never noticed by manually clicking around. What I liked most wasn't just finding bugs. It showed exactly what happened in the browser, explained the likely root cause, and gave enough context to fix the issue without guessing. Instead of running a one-time check, I connected the repo so Replay QA can keep testing every time I push changes or open a PR. No Playwright setup. No complicated pipeline configuration. Just a practical QA gate before users ever find the problems. If you're building with Cursor, Claude Code, Codex, Lovable, Bolt, Replit, or any AI coding workflow, this is worth adding before your next launch. Replay
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My AI app looked ready to ship. Replay QA proved otherwise. Before launching, I connected the GitHub repo to Replay QA, let it run through the app like a real user, and within a few minutes it surfaced issues I would've never noticed by manually clicking around. What I liked most wasn't just finding bugs. It showed exactly what happened in the browser, explained the likely root cause, and gave enough context to fix the issue without guessing. Instead of running a one-time check, I connected the repo so Replay QA can keep testing every time I push changes or open a PR. No Playwright setup. No complicated pipeline configuration. Just a practical QA gate before users ever find the problems. If you're building with Cursor, Claude Code, Codex, Lovable, Bolt, Replit, or any AI coding workflow, this is worth adding before your next launch. Replay

Kaitee

64,294 次观看 • 1 个月前

Grok Build CLI just dropped. Not for dabbling. This is dev mode. Runs in your terminal and actually gets work done. Activate your personal dev mode. SuperGrok Heavy users only. Try it: * Confirm access - this is SuperGrok Heavy only, not your regular plan * Upgrade if needed - or * Install it - run the one-liner in your terminal * Jump into your project - cd into your repo * Launch Grok - type “grok” and log in once * Start prompting - audits, features, fixes, whatever you need * Use plan mode - review tasks and diffs before anything runs * Spin up sub-agents - let it handle big workloads * Go headless - automate scripts when you don’t want to babysit * Keep iterating - refine, rerun, improve You’re up and running in minutes. No excuses. Tip: Start with a small task in an existing repo to get comfortable with the plan and review workflow. xAI engineers are actively gathering feedback. Share your experience on 𝕏. xAI
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Grok Build CLI just dropped. Not for dabbling. This is dev mode. Runs in your terminal and actually gets work done. Activate your personal dev mode. SuperGrok Heavy users only. Try it: * Confirm access - this is SuperGrok Heavy only, not your regular plan * Upgrade if needed - or * Install it - run the one-liner in your terminal * Jump into your project - cd into your repo * Launch Grok - type “grok” and log in once * Start prompting - audits, features, fixes, whatever you need * Use plan mode - review tasks and diffs before anything runs * Spin up sub-agents - let it handle big workloads * Go headless - automate scripts when you don’t want to babysit * Keep iterating - refine, rerun, improve You’re up and running in minutes. No excuses. Tip: Start with a small task in an existing repo to get comfortable with the plan and review workflow. xAI engineers are actively gathering feedback. Share your experience on 𝕏. xAI

Mario Nawfal

75,467 次观看 • 3 个月前

Sherlock AI is the security homebase for Web3 engineering teams. Pick a repo, branch, and commit, start a run, and get visibility into vulnerabilities and attack paths tied to the code you’re about to ship. The payoff is simple: it gives engineers time back. Less time doing manual review. Less time getting a repo “audit-ready.” Less time stuck in remediation loops and follow-up reviews after every fix. Sherlock AI catches issues earlier and lets teams verify patches on the next commit, so devs can focus on building. AI auditing is the new baseline. Protocols that adopt it ship faster. Protocols that don’t will keep paying the same tax in time, churn, and rework.
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Sherlock AI is the security homebase for Web3 engineering teams. Pick a repo, branch, and commit, start a run, and get visibility into vulnerabilities and attack paths tied to the code you’re about to ship. The payoff is simple: it gives engineers time back. Less time doing manual review. Less time getting a repo “audit-ready.” Less time stuck in remediation loops and follow-up reviews after every fix. Sherlock AI catches issues earlier and lets teams verify patches on the next commit, so devs can focus on building. AI auditing is the new baseline. Protocols that adopt it ship faster. Protocols that don’t will keep paying the same tax in time, churn, and rework.

SHERLOCK

1,391,475 次观看 • 6 个月前

PROMPTS ARE DEAD. LOOPS JUST REPLACED YOUR $200K ENGINEER. Claire Vo showed how to turn one prompt into a self-running loop. It reviews your aging pull requests every morning and hunts for new skills every week. And it spins up its own subagents to check its own work. Runs on Claude Code + Codex. One afternoon. One prompt. The numbers are insane: - Senior doing code review: $200K/year - Automation engineer: $150K/year - This setup: about $200/month - Time to build: one afternoon - Skill required: describe the job like you are onboarding a hire The opportunity is even wilder: Teams pay people to babysit pull requests and chase stale reviews. The loop does it itself at 10:15 a.m., alerts the team, and validates itself with subagents. An agency would charge thousands to wire this up. One person + Claude Code + Codex + one prompt = an engineering team that reviews code and finds new skills while you sleep. Save and watch the clip.
29:06

PROMPTS ARE DEAD. LOOPS JUST REPLACED YOUR $200K ENGINEER. Claire Vo showed how to turn one prompt into a self-running loop. It reviews your aging pull requests every morning and hunts for new skills every week. And it spins up its own subagents to check its own work. Runs on Claude Code + Codex. One afternoon. One prompt. The numbers are insane: - Senior doing code review: $200K/year - Automation engineer: $150K/year - This setup: about $200/month - Time to build: one afternoon - Skill required: describe the job like you are onboarding a hire The opportunity is even wilder: Teams pay people to babysit pull requests and chase stale reviews. The loop does it itself at 10:15 a.m., alerts the team, and validates itself with subagents. An agency would charge thousands to wire this up. One person + Claude Code + Codex + one prompt = an engineering team that reviews code and finds new skills while you sleep. Save and watch the clip.

shmidt

51,155 次观看 • 1 个月前

“Our biggest bottleneck is becoming the review of code, rather than the actual writing and generation of code.” Cisco CPO Jeetu Patel says code review is still super important though, because without human taste and judgment, code quickly turns into slop: “Every engineer on that team is now just a spec developer.” “They just build specs. They create markdown files. They give context to the model. They give context to the agent. And then the agent’s writing the code.” “I think, presumably, the review is going to get easier, too.” “You’ll have really crappy software that gets written if people aren’t paying attention to it. It doesn’t obviate the need for having taste, and having judgment, and having instinct, and making sure that you’re thinking about what you’re building."
1:35

“Our biggest bottleneck is becoming the review of code, rather than the actual writing and generation of code.” Cisco CPO Jeetu Patel says code review is still super important though, because without human taste and judgment, code quickly turns into slop: “Every engineer on that team is now just a spec developer.” “They just build specs. They create markdown files. They give context to the model. They give context to the agent. And then the agent’s writing the code.” “I think, presumably, the review is going to get easier, too.” “You’ll have really crappy software that gets written if people aren’t paying attention to it. It doesn’t obviate the need for having taste, and having judgment, and having instinct, and making sure that you’re thinking about what you’re building."

TBPN

11,289 次观看 • 6 个月前

THE GUY WHO WON ANTHROPIC'S HACKATHON JUST GAVE AWAY HIS ENTIRE CLAUDE CODE PLAYBOOK FOR FREE. 10 MONTHS OF WORK, ALL PUBLIC Affaan Mustafa won the Anthropic x Forum Ventures hackathon by building a full startup in 8 hours with Claude Code. Then he open-sourced the exact setup that did it. It's called Everything Claude Code, and it turns Claude from one assistant into an entire engineering team Repo: affaan-m/ecc This isn't a prompt pack. It's a system he refined over 10+ months of daily use shipping real products What's inside: A huge library of skills, dozens of specialized subagents, and ready-made commands, all working together. Each piece does one job. One subagent reviews security against OWASP standards. One optimizes memory so Claude stops forgetting earlier decisions around hour three. One learns from your past sessions and projects so the setup gets smarter the more you use it. Others handle planning, test-driven development, and language-specific code review Instead of one assistant writing code, you get an orchestrated team. A main session delegates to the right specialist when the task calls for it, the way a real dev team splits work The best part: it's not locked to one tool. It runs in Claude Code, Cursor, Codex and OpenCode, across Windows, Mac and Linux. Free, MIT licensed This is the difference between using Claude like a search box and running it like a team that ships. The guy spent 10 months figuring out what actually works so you don't have to Bookmark this
9:32

THE GUY WHO WON ANTHROPIC'S HACKATHON JUST GAVE AWAY HIS ENTIRE CLAUDE CODE PLAYBOOK FOR FREE. 10 MONTHS OF WORK, ALL PUBLIC Affaan Mustafa won the Anthropic x Forum Ventures hackathon by building a full startup in 8 hours with Claude Code. Then he open-sourced the exact setup that did it. It's called Everything Claude Code, and it turns Claude from one assistant into an entire engineering team Repo: affaan-m/ecc This isn't a prompt pack. It's a system he refined over 10+ months of daily use shipping real products What's inside: A huge library of skills, dozens of specialized subagents, and ready-made commands, all working together. Each piece does one job. One subagent reviews security against OWASP standards. One optimizes memory so Claude stops forgetting earlier decisions around hour three. One learns from your past sessions and projects so the setup gets smarter the more you use it. Others handle planning, test-driven development, and language-specific code review Instead of one assistant writing code, you get an orchestrated team. A main session delegates to the right specialist when the task calls for it, the way a real dev team splits work The best part: it's not locked to one tool. It runs in Claude Code, Cursor, Codex and OpenCode, across Windows, Mac and Linux. Free, MIT licensed This is the difference between using Claude like a search box and running it like a team that ships. The guy spent 10 months figuring out what actually works so you don't have to Bookmark this

Yarchi

815,581 次观看 • 2 个月前

Your Plan SUCKS! 👀 Inspired by the legend Andrej Karpathy himself, I created a new skill: LLM Council. Create better plans, by committee. Supports: > Codex CLI > Gemini CLI > Claude Code > OpenCode Call the skill with your feature that you'd like to build. It will ask you some clarifying question, and then launch up to four parallel planning agents to create a detailed plan. Once the plans are in, all plans are anonymized and the "The Judge" will critique and choose the best plan *OR* the best parts from all of them. Finally, it will output a final-plan, which you can review and refine. I even created a nice UI for you to review and refine your plans. This Skill has been tested on Linux only, but should work on other platforms. Please report any bugs! Links in the comments.
0:28

Your Plan SUCKS! 👀 Inspired by the legend Andrej Karpathy himself, I created a new skill: LLM Council. Create better plans, by committee. Supports: > Codex CLI > Gemini CLI > Claude Code > OpenCode Call the skill with your feature that you'd like to build. It will ask you some clarifying question, and then launch up to four parallel planning agents to create a detailed plan. Once the plans are in, all plans are anonymized and the "The Judge" will critique and choose the best plan *OR* the best parts from all of them. Finally, it will output a final-plan, which you can review and refine. I even created a nice UI for you to review and refine your plans. This Skill has been tested on Linux only, but should work on other platforms. Please report any bugs! Links in the comments.

am.will

69,134 次观看 • 7 个月前

Shipping speed is up across the board, and AI tools like Gemini 3 Pro are helping us code and build faster than ever. But validation and quality assurance? Still the bottleneck. That’s why I’m integrating TestSprite into my workflow. It analyzes my code and PRD, automatically builds a comprehensive test layer, and keeps my development flow unbroken. No test writing. No last-minute QA chaos. What it covers: ➞ UI Flow Coverage: Verifies real-time updates and synchronization (e.g., confirming gradient sliders and angle controls work together). ➞ Edge Case Validation: Catches subtle logic bugs like inputs accepting out-of-range values that I'd typically miss. ➞ Functionality Check: Automatically runs videos to ensure core features (like "Randomize" and "Copy to Clipboard") are working. ➞ Repeatable Test Suite: Creates tests I can rerun anytime, giving me confidence that new code hasn't broken the old. My new Antigravity + Test Sprite Loop: ➞ AI Plan & Code: Use Antigravity's Planning Mode with Gemini 3 Pro to generate structured code. ➞ Browser Agent QA: Use Antigravity's Open Browser feature to let the AI visually analyze and control the live UI for quick verification. ➞ Validate & Test: Run the automated, reproducible test suite in Test Sprite. ➞ Ship. This loop feels clean, fast, and robust. Works beautifully alongside Gemini 3 Pro, Cloud Sonet, or any AI stack.
22:37

Shipping speed is up across the board, and AI tools like Gemini 3 Pro are helping us code and build faster than ever. But validation and quality assurance? Still the bottleneck. That’s why I’m integrating TestSprite into my workflow. It analyzes my code and PRD, automatically builds a comprehensive test layer, and keeps my development flow unbroken. No test writing. No last-minute QA chaos. What it covers: ➞ UI Flow Coverage: Verifies real-time updates and synchronization (e.g., confirming gradient sliders and angle controls work together). ➞ Edge Case Validation: Catches subtle logic bugs like inputs accepting out-of-range values that I'd typically miss. ➞ Functionality Check: Automatically runs videos to ensure core features (like "Randomize" and "Copy to Clipboard") are working. ➞ Repeatable Test Suite: Creates tests I can rerun anytime, giving me confidence that new code hasn't broken the old. My new Antigravity + Test Sprite Loop: ➞ AI Plan & Code: Use Antigravity's Planning Mode with Gemini 3 Pro to generate structured code. ➞ Browser Agent QA: Use Antigravity's Open Browser feature to let the AI visually analyze and control the live UI for quick verification. ➞ Validate & Test: Run the automated, reproducible test suite in Test Sprite. ➞ Ship. This loop feels clean, fast, and robust. Works beautifully alongside Gemini 3 Pro, Cloud Sonet, or any AI stack.

Dhaval Makwana

110,884 次观看 • 8 个月前

New on Claude Code Desktop We’re shipping new features for Claude Code on desktop that let you preview running apps, auto-review code, and auto-fix and merge PRs to help close the development loop. - Server previews: Claude starts dev servers and previews your running app in the desktop interface. It reads console logs, catches errors, and keeps iterating on its own. - Local code review: Claude examines your local diffs and leaves inline comments before you push — an immediate second set of eyes on every change. - PR monitoring: Claude tracks CI status after you open a PR. With auto-fix, it attempts to resolve failures automatically. With auto-merge, PRs land as soon as checks pass. You can move on to your next task while Claude handles the last one. - Session mobility: Move sessions from CLI to desktop, and from desktop to the cloud. Start work at your desk, pick it up from the web or your phone.
1:15

New on Claude Code Desktop We’re shipping new features for Claude Code on desktop that let you preview running apps, auto-review code, and auto-fix and merge PRs to help close the development loop. - Server previews: Claude starts dev servers and previews your running app in the desktop interface. It reads console logs, catches errors, and keeps iterating on its own. - Local code review: Claude examines your local diffs and leaves inline comments before you push — an immediate second set of eyes on every change. - PR monitoring: Claude tracks CI status after you open a PR. With auto-fix, it attempts to resolve failures automatically. With auto-merge, PRs land as soon as checks pass. You can move on to your next task while Claude handles the last one. - Session mobility: Move sessions from CLI to desktop, and from desktop to the cloud. Start work at your desk, pick it up from the web or your phone.

Ado

71,910 次观看 • 6 个月前

how is this even allowed i dropped my $200/mo claude plan for deepseek harness, it’s basically free the whole thing runs on one simple rule: everything is a plugin [setup takes 3 minutes, here’s the playbook] 1. clone/install the repo called deepseek-harness 2. skim the architecture docs 3. that’s it, you’re live bookmark this and hand it to your agent right now.
1:11

how is this even allowed i dropped my $200/mo claude plan for deepseek harness, it’s basically free the whole thing runs on one simple rule: everything is a plugin [setup takes 3 minutes, here’s the playbook] 1. clone/install the repo called deepseek-harness 2. skim the architecture docs 3. that’s it, you’re live bookmark this and hand it to your agent right now.

CyrilXBT

42,225 次观看 • 9 天前

Want to create beautiful, high-converting landing pages like this without spending days in Figma or Webflow? Here's my AI-first workflow: Start with Claude Have Claude interview you about the product, audience, positioning, features, concerns and tradeoffs using this prompt: "Create me a plan file for [Product Idea] and interview me in detail using the AskUserQuestionTool about literally anything: technical implementation, UI & UX, concerns, tradeoffs, etc." Turn the plan into a prototype Use the plan file to generate a working prototype and pull inspiration, layouts and motion ideas from Generate the landing page in code Skip static mockups and build directly in the browser. Run a design review Use the Design Review skill to identify hierarchy, spacing, branding, usability and accessibility issues. Iterate relentlessly Keep refining until it feels designed and polished, not generated. The future isn't designers vs AI. It's builders with great taste using AI as leverage. Anyone can generate. Taste is the moat. Follow for more AI design and vibe coding workflows. And if you want more practical systems like this, my book 'Think. Prompt. Create.' is available now on Amazon
0:58

Want to create beautiful, high-converting landing pages like this without spending days in Figma or Webflow? Here's my AI-first workflow: Start with Claude Have Claude interview you about the product, audience, positioning, features, concerns and tradeoffs using this prompt: "Create me a plan file for [Product Idea] and interview me in detail using the AskUserQuestionTool about literally anything: technical implementation, UI & UX, concerns, tradeoffs, etc." Turn the plan into a prototype Use the plan file to generate a working prototype and pull inspiration, layouts and motion ideas from Generate the landing page in code Skip static mockups and build directly in the browser. Run a design review Use the Design Review skill to identify hierarchy, spacing, branding, usability and accessibility issues. Iterate relentlessly Keep refining until it feels designed and polished, not generated. The future isn't designers vs AI. It's builders with great taste using AI as leverage. Anyone can generate. Taste is the moat. Follow for more AI design and vibe coding workflows. And if you want more practical systems like this, my book 'Think. Prompt. Create.' is available now on Amazon

Joey Primiani

471,049 次观看 • 2 个月前

Wow! Someone open sourced 100+ full AI apps you can just clone and ship.. and it's sitting at 124,000 stars on github it's one repo, awesome-llm-apps. and the important part.. these aren't tutorials teaching you to build an app. they're the finished apps themselves. RAG systems, AI agents, multi-agent teams.. tested end to end, apache licensed, yours to copy. a few that are actually in there: - a fraud investigation agent that cross-references public records to flag things that don't add up - a VC due-diligence agent team that writes startup investment analysis - a financial coach that builds you a budget, debt and savings plan - "chat with anything".. your github, gmail, PDFs, arxiv papers, youtube videos - a deep research agent that runs full web research on its own here's how to actually use it, not just star it: clone the repo, open the one app closest to what you need it's a working template.. swap in your data, your API key, your use case ship it as your own thing, or bolt three of them together into one bigger product the license literally lets you take these, customize them, and sell them. that's not a loophole, that's the point of apache-2.0. repo:
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Wow! Someone open sourced 100+ full AI apps you can just clone and ship.. and it's sitting at 124,000 stars on github it's one repo, awesome-llm-apps. and the important part.. these aren't tutorials teaching you to build an app. they're the finished apps themselves. RAG systems, AI agents, multi-agent teams.. tested end to end, apache licensed, yours to copy. a few that are actually in there: - a fraud investigation agent that cross-references public records to flag things that don't add up - a VC due-diligence agent team that writes startup investment analysis - a financial coach that builds you a budget, debt and savings plan - "chat with anything".. your github, gmail, PDFs, arxiv papers, youtube videos - a deep research agent that runs full web research on its own here's how to actually use it, not just star it: clone the repo, open the one app closest to what you need it's a working template.. swap in your data, your API key, your use case ship it as your own thing, or bolt three of them together into one bigger product the license literally lets you take these, customize them, and sell them. that's not a loophole, that's the point of apache-2.0. repo:

Axel Bitblaze 🪓

46,487 次观看 • 1 个月前