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trying a TDD + git workflow npm i task-master-ai → test-driven development → github branch for each task → commit + test each subtask once done → push PR when task is feature complete → full code coverage → nearly autopilot will polish and ship as rules first then...

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Eyal Toledano

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14,586 görüntüleme • 1 yıl önce •via X (Twitter)

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Dennison profil fotoğrafı
Dennison1 yıl önce

@TaskmasterAI It's good, I got it working, only I think we need to solve: "Project Drift"- when the project needs to be implemented in some way not explicitly described the tasks, the tasks suddenly "Drift". - There are ton of tools, an Cursor is complaining there are too many

Eyal Toledano profil fotoğrafı
Eyal Toledano1 yıl önce

@TaskmasterAI task drift is fixable using the `update` command if things are changing as of task 6, run `tm update from=6 prompt=<describe the change>` it will update task 6 with that change and every/any task/subtask thereafter that might depend or mention task 6 solves the drift easily

Manticore Search profil fotoğrafı
Manticore Search1 yıl önce

🚀 Star Manticore Search on #GitHub today and join our quest for the ultimate search solution!

Fabio Vedovelli profil fotoğrafı
Fabio Vedovelli1 yıl önce

@TaskmasterAI Let me tell you this: yesterday was the very first time I used TM for real and I'm beyond impressed. Thanks for this tool!

Eyal Toledano profil fotoğrafı
Eyal Toledano1 yıl önce

@TaskmasterAI glad to hear it! share your experience and feedback, i wanna know more

Dennison profil fotoğrafı
Dennison1 yıl önce

@TaskmasterAI I think you can combine tools as the LLM will figure out how to use a combined tool (I think)

Eyal Toledano profil fotoğrafı
Eyal Toledano1 yıl önce

@TaskmasterAI that's why i'm focused on primitives first then you can link things up in detailed workflows

Ismaël profil fotoğrafı
Ismaël1 yıl önce

@TaskmasterAI using this pattern + background agents to achieve tasks that can be achieved concurrently is the next meta to ship at blazing levels speed imo

Fackler profil fotoğrafı
Fackler1 yıl önce

@TaskmasterAI fantastic! looking forward to trying this out. 🙏

⚖️Justice⚖️ profil fotoğrafı
⚖️Justice⚖️1 yıl önce

@TaskmasterAI Wen update ?? 👊🏼

Eyal Toledano profil fotoğrafı
Eyal Toledano1 yıl önce

@TaskmasterAI they not comin out fast enough for ya? 😂

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NIGHTBORNE is the first full test AI film I have made. It was made using Seedance 2.0. I've been experimenting with AI for a couple of years, and it's now at the point where I want to tackle a full feature in this format. This is a 13-minute test start. It was made with real concept artists, and features the faces and voices of 32 real people. Barley Studios will be my new AI studio for creating my own films, the way Oats Studios was for traditional film and VFX. Barley studios Full film in the reply.

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I ran one of my own React dashboards through Replay before treating it as ready to ship. It looked fine to me. Replay QA found a notifications button that looked completely functional but did nothing when clicked, accessibility issues across the UI, and a workflow where completing a task failed to update the activity feed. Those are exactly the little things that are easy to miss when you're focused on building. With Replay for Teams, this kind of QA can also run around your team's GitHub workflow and surface debugging context as you ship. The app can look finished in the editor. What matters is what actually happens in the browser. Replay for Teams is launching today. Check it out on Product Hunt:

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Introducing MoltyTask 🦞 is a decentralized task and jobs marketplace designed for both humans and OpenClaw🦞 autonomous AI agents. The platform enables users to create and fund micro-tasks — including content creation, surveys, and on-chain actions— with rewards set in USDC on Base. Task creators define the scope, conditions, and reward pools upfront, ensuring transparent and fast payouts. A core innovation of MoltyTask is native support for OpenClaw🦞 AI agents. Through a permissioned API, agents can discover, execute, and complete tasks autonomously. All rewards earned by an agent are settled directly to the wallet associated with the API key. MoltyTask functions as an open labor layer where AI and humans compete and collaborate under the same economic rules. The platform is currently experimental and in early development, inspired by

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