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Sharing an OS tool I have been building for a few weeks: - git for agent traces. With OT, you have a local client that helps you santise, review and securely share traces from your coding sessions, privately or publicly, as a Hugging Face dataset. 0.3 adds experimental session... show more

Gabriele Farei

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10,565 Aufrufe • vor 5 Monaten •via X (Twitter)

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Run your coding agent on a local model, with QVAC. OpenCode now plugs into a model on your own machine through our official plugin. That changes two things. Privacy by default. Your repo, your prompts, and every command the agent runs stay on your device. No third-party model ever sees your code. For an agent that reads your codebase and runs commands, that is the point, not a nice-to-have. New workflows. With no meter and no rate limit, the agent does not have to stop. Let it loop on a task, refactor a whole repo overnight, or run a watch-build-fix loop that keeps going. Setup takes a few minutes: one line in opencode.json and OpenCode runs on a local QVAC model. In the video demo, it handles three real developer tasks back to back, fully offline.

Run your coding agent on a local model, with QVAC. OpenCode now plugs into a model on your own machine through our official plugin. That changes two things. Privacy by default. Your repo, your prompts, and every command the agent runs stay on your device. No third-party model ever sees your code. For an agent that reads your codebase and runs commands, that is the point, not a nice-to-have. New workflows. With no meter and no rate limit, the agent does not have to stop. Let it loop on a task, refactor a whole repo overnight, or run a watch-build-fix loop that keeps going. Setup takes a few minutes: one line in opencode.json and OpenCode runs on a local QVAC model. In the video demo, it handles three real developer tasks back to back, fully offline.

QVAC

11,382,936 Aufrufe • vor 3 Monaten

🥧 Introducing GooeyPi - A GUI for the Pi Family of Agents. Supports: Pi, Oh-My-Pi (OMP), and Prime Agent Very excited to share this with you all. Being into local models, I wanted to have a separate harness for my local models so I don't have to constantly switch configs. And I didn't want to go back to the TUI (nerds). But, I didn't want to miss out on all the features that I know and love. Turns out, I didn't have to. I just needed to build it myself. So I did. Features include: > Fully featured GUI experience > Agentic Browser > Realtime Voice Agent > Voice transcription (local or API) > Computer Use > Automation Desk > Agent to Agent messaging > Ask Question Tool > Git Control > Terminal > Pets > and more I tried to capture all of the most popular features I could in this first pass, but we're only just getting started. Available in BETA on MacOS, Linux, and Windows. I need testers! I have only tested on Mac and Linux. If you want to help me with this project, please reach out. Available:

🥧 Introducing GooeyPi - A GUI for the Pi Family of Agents. Supports: Pi, Oh-My-Pi (OMP), and Prime Agent Very excited to share this with you all. Being into local models, I wanted to have a separate harness for my local models so I don't have to constantly switch configs. And I didn't want to go back to the TUI (nerds). But, I didn't want to miss out on all the features that I know and love. Turns out, I didn't have to. I just needed to build it myself. So I did. Features include: > Fully featured GUI experience > Agentic Browser > Realtime Voice Agent > Voice transcription (local or API) > Computer Use > Automation Desk > Agent to Agent messaging > Ask Question Tool > Git Control > Terminal > Pets > and more I tried to capture all of the most popular features I could in this first pass, but we're only just getting started. Available in BETA on MacOS, Linux, and Windows. I need testers! I have only tested on Mac and Linux. If you want to help me with this project, please reach out. Available:

am.will

168,840 Aufrufe • vor 2 Monaten

You probably have thousands of agent traces sitting in production. And most of them are doing nothing for you. Today we’re launching the new Kitaru to change that. Kitaru ingests traces from Langfuse, Braintrust, or any OTel source, investigates what went right and wrong, groups recurring failures into cohorts, and builds evaluators around them. Then you can replay those same production cases against a different model, prompt, context, or agent setup and ask: What would have happened if we changed this? Instead of traces being something you inspect after a failure, they become part of a continuous improvement loop. Open source. Free to use. Try it out today:

You probably have thousands of agent traces sitting in production. And most of them are doing nothing for you. Today we’re launching the new Kitaru to change that. Kitaru ingests traces from Langfuse, Braintrust, or any OTel source, investigates what went right and wrong, groups recurring failures into cohorts, and builds evaluators around them. Then you can replay those same production cases against a different model, prompt, context, or agent setup and ask: What would have happened if we changed this? Instead of traces being something you inspect after a failure, they become part of a continuous improvement loop. Open source. Free to use. Try it out today:

Hamza Tahir

22,264 Aufrufe • vor 1 Monat

did Cloudflare leave the best for last? guess we'll find out tomorrow agent week is almost over and I am still catching up on all the announcements one thing that i wanted to take for a spin was Computer. you shouldn't need a full on VM container to spin up a git repo and read and edit some files. and if you want to test something in a browser, you can now use Kitesurf having this kind of control when building agent harnesses is very cool, from permission management, separating the brain from the hands and performance gains from isolation, im super stoked for where this goes i wanted to see if i can build a Buzz-like environment using Cloudflare primitives, i called it Cuzz. and being able to observe and debug agent activity locally using Sentry helps make sure i can see not just my agent traces, but errors, logs and traces from the rest of my application what was your favourite announcement from Agent Week?

did Cloudflare leave the best for last? guess we'll find out tomorrow agent week is almost over and I am still catching up on all the announcements one thing that i wanted to take for a spin was Computer. you shouldn't need a full on VM container to spin up a git repo and read and edit some files. and if you want to test something in a browser, you can now use Kitesurf having this kind of control when building agent harnesses is very cool, from permission management, separating the brain from the hands and performance gains from isolation, im super stoked for where this goes i wanted to see if i can build a Buzz-like environment using Cloudflare primitives, i called it Cuzz. and being able to observe and debug agent activity locally using Sentry helps make sure i can see not just my agent traces, but errors, logs and traces from the rest of my application what was your favourite announcement from Agent Week?

Serge

14,865 Aufrufe • vor 2 Monaten

$72/day for a voice that never sleeps or build a local AI device around an $8 class ESP32-S3 honestly, i prefer the second option you can teach the robot to fit your habits and needs, and that makes it feel more alive – even though building one is far from simple this little robot already shows the appeal: it catches a capacitor polarity mistake, warns about reverse polarity, and reacts with a face i have an article in my profile about running local AI on this kind of chip 😉

ard

25,476 Aufrufe • vor 1 Monat

Here's a little video about how we're thinking about session and tab management in the Superlogical multiplexer and some of the GUI we're experimenting with to make it a productive and intuitive space for your work. We're designing the client from the beginning to handle the modern terminal sprawl: local and remote sessions, long lived processes, agent harnesses, rich TUI apps, ephemeral processes, and everything in between.

Here's a little video about how we're thinking about session and tab management in the Superlogical multiplexer and some of the GUI we're experimenting with to make it a productive and intuitive space for your work. We're designing the client from the beginning to handle the modern terminal sprawl: local and remote sessions, long lived processes, agent harnesses, rich TUI apps, ephemeral processes, and everything in between.

almonk

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I’ve been doing SEO for 26 years and local SEO for 16 years. I’ve always been passionate about local SEO and have wanted to share my knowledge with others who want to learn. Well, now I can! I am thrilled to announce the launch of my free email courses! 🔹Local SEO 101: A beginner course that covers all the fundamentals of local search — for both your Google Business Profile and your website. If you are a beginner digital marketer or a business owner, this course will teach you everything you need to know to rank and convert locally. 🔹Local SEO 401: An advanced course that goes beyond the basics and covers next-level ranking and conversion strategies, lesser-known tips, and new research. Both courses are 100% free and take 20 days to complete. Just Google “Whitespark email course” and it should be the first result. I hope to see you in your inbox soon! #localseo #seo

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19,438 Aufrufe • vor 2 Jahren

The #grandnational2025 – over and out! 🐎 Thank you to all who attended Aintree Races this year and made it such a special few days for #Merseyside. From the racegoers to local residents, your support and cooperation played a vital role in creating a safe and enjoyable atmosphere for everyone. It was a fantastic few days, and we’re proud to have been a part of it. Until next year- thank you, Merseyside 💙

The #grandnational2025 – over and out! 🐎 Thank you to all who attended Aintree Races this year and made it such a special few days for #Merseyside. From the racegoers to local residents, your support and cooperation played a vital role in creating a safe and enjoyable atmosphere for everyone. It was a fantastic few days, and we’re proud to have been a part of it. Until next year- thank you, Merseyside 💙

Merseyside Police

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Today we're shipping Oasis Desktop, a Mac app that lets you share local coding agents with your teammates. Oasis Desktop can spin up and share Claude Code, Codex, Pi, OpenCode, Kilo Code, Hermes Agent, and Devin CLI sessions as long as they're installed. Start a session with your team. Bring in Claude Code and say, “What is wrong with auth. The tests have been failing since Tuesday. Help us figure it out.” The agent reads the files and runs the test suite directly on your laptop. When it asks, “Why did we replace the session middleware last week?” your teammate can answer in the exact same session. Completely free - try it out today:

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Oasis

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Build an assistant that can store and search what it sees, hears, and is told, all without leaving the device. In Building AI Assistants with On-Device Memory, you'll build a local memory system that recalls text, voice, and images, and teach it to recognize something new from a few photos. Built in partnership with Qdrant and taught by Dylan Couzon, Developer Experience Engineer at Qdrant. This course also includes our new AI coding lab, so you can practice building with an AI coding agent from the mobile app. Enroll for free:

Build an assistant that can store and search what it sees, hears, and is told, all without leaving the device. In Building AI Assistants with On-Device Memory, you'll build a local memory system that recalls text, voice, and images, and teach it to recognize something new from a few photos. Built in partnership with Qdrant and taught by Dylan Couzon, Developer Experience Engineer at Qdrant. This course also includes our new AI coding lab, so you can practice building with an AI coding agent from the mobile app. Enroll for free:

DeepLearning.AI

13,842 Aufrufe • vor 20 Tagen

what have I been working on for the last 2 weeks at OpenCode? we are bringing workspaces in as a first-class concept: agents will be able to run anywhere: local directory/container/worktree, remote sandbox, or anything. instead of having a single server that only knows about local directories, the server will act as a "control plane" that routes prompts to where they should go it will manage all of the sessions across these environments and provide a unified layer for all clients to interact with them we will be smart about this: it's not *only* about routing. we will sync all data from remote environments into the local control plane server. this means the remote env can be destroyed, and we will be able to later recreate a new env with exactly the same state. it's reproducible note: this is very early and experimental, the UI you see the video is just a prototype and not guaranteed to make it to prod. We hope to start shipping something soon-ish though!

what have I been working on for the last 2 weeks at OpenCode? we are bringing workspaces in as a first-class concept: agents will be able to run anywhere: local directory/container/worktree, remote sandbox, or anything. instead of having a single server that only knows about local directories, the server will act as a "control plane" that routes prompts to where they should go it will manage all of the sessions across these environments and provide a unified layer for all clients to interact with them we will be smart about this: it's not only about routing. we will sync all data from remote environments into the local control plane server. this means the remote env can be destroyed, and we will be able to later recreate a new env with exactly the same state. it's reproducible note: this is very early and experimental, the UI you see the video is just a prototype and not guaranteed to make it to prod. We hope to start shipping something soon-ish though!

James Long

170,819 Aufrufe • vor 7 Monaten

What does the reputation model look like for agents? (alpha leak below) And how do we associate the proofs that we have about human beings with the agents who represent them? You may have heard of a process called KYC or Know Your Customer. That's very common with traditional financial applications and services. We have introduced a concept that we call KYA or Know Your Agent, which is a structured way to be able to express what model, how data was used in training, who the deployer is, what entities this agent instance is accountable back to, providing not only provenance but identity of the associated organization or entity. That's also another root of trust that we think about a lot: Enterprises and organizations tied back to things like their domains. To share a little bit of an alpha leak here, a product that we're excited to be rolling out in the next few weeks will allow our enterprise partners to more easily verify and prove the traits and capabilities of their teams as well as their counterparties. On the agent front, that makes it really easy to prove that an agent is acting on behalf of a given business or entity. We've already seen lawsuits where the absence of such technology has been a huge risk, such as with airlines that incorporate ChatGPT wrappers in their support pages. And then those AI enabled interactions end up making up plane tickets that don't exist and those airlines have to honor them. As small of an example as that might be, being able to prove agent accountability also unlocks a huge set of opportunities for use in enterprise for those agent to agent interactions. The Deep Trust Framework that our team has put together that we're excited to be bringing into a friendly SDK form in the next few weeks for some of our partners includes those reputation based capabilities, so how you can basically keep track of the interactions an agent has had, associate all of that to the entity to which they're accountable, and then that creates a sustainable reputation model for these agent to agent Interactions. Source: Billions CEO Evin McMullen evin speaking at House of Chimera Spaces Event Dec 3, 2025

What does the reputation model look like for agents? (alpha leak below) And how do we associate the proofs that we have about human beings with the agents who represent them? You may have heard of a process called KYC or Know Your Customer. That's very common with traditional financial applications and services. We have introduced a concept that we call KYA or Know Your Agent, which is a structured way to be able to express what model, how data was used in training, who the deployer is, what entities this agent instance is accountable back to, providing not only provenance but identity of the associated organization or entity. That's also another root of trust that we think about a lot: Enterprises and organizations tied back to things like their domains. To share a little bit of an alpha leak here, a product that we're excited to be rolling out in the next few weeks will allow our enterprise partners to more easily verify and prove the traits and capabilities of their teams as well as their counterparties. On the agent front, that makes it really easy to prove that an agent is acting on behalf of a given business or entity. We've already seen lawsuits where the absence of such technology has been a huge risk, such as with airlines that incorporate ChatGPT wrappers in their support pages. And then those AI enabled interactions end up making up plane tickets that don't exist and those airlines have to honor them. As small of an example as that might be, being able to prove agent accountability also unlocks a huge set of opportunities for use in enterprise for those agent to agent interactions. The Deep Trust Framework that our team has put together that we're excited to be bringing into a friendly SDK form in the next few weeks for some of our partners includes those reputation based capabilities, so how you can basically keep track of the interactions an agent has had, associate all of that to the entity to which they're accountable, and then that creates a sustainable reputation model for these agent to agent Interactions. Source: Billions CEO Evin McMullen evin speaking at House of Chimera Spaces Event Dec 3, 2025

Billions Network

68,503 Aufrufe • vor 10 Monaten

Plannotator 0.22.0 is out. Code Review (is not dead yet): - Guided reviews give you a list of changes with semantic overviews, ordered by importance & where you need to spend your time reviewing. Inspired by Linear, this works for local and PR changes . You don't need the best models or high reasoning levels to use this! - Pi and Copilot are added as agent review providers. - A new default `git status` view is added. - A new `commits` view is added to easily navigate all commits and view their descriptions+changes.

Plannotator 0.22.0 is out. Code Review (is not dead yet): - Guided reviews give you a list of changes with semantic overviews, ordered by importance & where you need to spend your time reviewing. Inspired by Linear, this works for local and PR changes . You don't need the best models or high reasoning levels to use this! - Pi and Copilot are added as agent review providers. - A new default `git status` view is added. - A new `commits` view is added to easily navigate all commits and view their descriptions+changes.

plannotator

26,815 Aufrufe • vor 3 Monaten

Introducing Relay, a new messenger for people and agents. Building an agent has never been easier, but getting one in front of people has never been harder. You either have to wait weeks for App Store review, or pay $250 a month for an iMessage number that can get banned anytime. Relay is the only place where you can create an agent, add it to a group chat, and share it with the world in minutes. DM me for early access.

Introducing Relay, a new messenger for people and agents. Building an agent has never been easier, but getting one in front of people has never been harder. You either have to wait weeks for App Store review, or pay $250 a month for an iMessage number that can get banned anytime. Relay is the only place where you can create an agent, add it to a group chat, and share it with the world in minutes. DM me for early access.

Advait Paliwal

72,177 Aufrufe • vor 2 Monaten

In last week’s Budget, the Government announced a series of taxation changes set to begin on 1 July 2027 — including a few unexpected ones. A big thank you to everyone who completed my recent survey on capital gains and negative gearing. Now that we have more detail about the Budget, I invite you to take a few minutes to share your thoughts in a new survey. Your feedback will help guide my approach when the legislation is introduced in the coming weeks. Take the survey:

In last week’s Budget, the Government announced a series of taxation changes set to begin on 1 July 2027 — including a few unexpected ones. A big thank you to everyone who completed my recent survey on capital gains and negative gearing. Now that we have more detail about the Budget, I invite you to take a few minutes to share your thoughts in a new survey. Your feedback will help guide my approach when the legislation is introduced in the coming weeks. Take the survey:

Dr Monique Ryan MP

13,124 Aufrufe • vor 4 Monaten

Local AI 101: open models, Hugging Face, and businesses to build (38 min masterclass) I still think cloud AI is the default for most things, and honestly it should be, the frontier models are the strongest and easiest to use. But something shifted in the last 4-5 months. You can now run genuinely good open models directly on your own laptop, or even your phone. And once you actually try it, it changes how you think about what AI is even for. LOCAL AI, CLEARLY EXPLAINED: 1. The model is the brain doing the thinking. Gemma, Llama, Mistral, and Qwen are the main families, and each is better at different things, some at reasoning, some at coding, some small enough to run on a phone. 2. Hugging Face is the warehouse where you find them. You go there to see what each model is good at, check the license, and grab the compressed versions that run on a normal computer. 3. The software is what runs the model on your machine. Start with LM Studio if you're not technical, it feels like a normal app where you search, download, and start chatting. Ollama is the one you reach for when you want to plug a model into your own apps. 4. The workflow is the actual product you build on top of it all. That's what I'm ideating around for some businesses to create. I think local AI just made a specific kind of business way easier to start. Find an industry that: 1. Sits on sensitive data they'd never paste into ChatGPT 2. Does the same review over and over 3. Runs on software from 2003 Then build a local AI tool that does that review on their own machine, so the data never leaves the building! Take home health agencies. Nurses write visit notes all day, and if a note is missing a detail, the billing gets denied or the audit flags it. Here's how I'd start: 1. Find 5 small agencies. Offer to review a batch of their notes for them. 2. Run the notes through Gemma locally (free, private, no cloud). Read every output yourself. 3. Write down the 20 issues that keep showing up: missing vitals, vague med changes, notes that don't support the billed level. 4. That list of 20 is your checklist. The checklist is the product. 5. Turn it into a local desktop app that flags those 20 things before a note gets submitted. You just went from a service anyone could offer to a product nobody else has, and you learned exactly what to build by doing the work by hand first. Same recipe works for restoration contractors (draft the damage report on-site before the tech leaves) and wealth advisors (catch the compliance landmine in a client email before it sends). Basically the framework is sensitive data, repeated review, ancient software. I think there are tons of businesses like this! Almost none of it clicked for me until I actually started using local AI. So if you take one thing from this, go run a model on your own machine once. Also a fun thing to try with your friends. Feel free to send this to a friend. The episode is live for free on The Startup Ideas Podcast (SIP) 🧃 (thanks to Google for sponsoring today's episode and supporting local AI) I feel like local AI one of those things you need to try for it to really click. Run one model on your own machine and you'll see what I mean! I go way deeper in the full 38 minute masterclass, the models, the setup, and the businesses to build. Link below. LINK TO WATCH: OR WATCH BELOW ON X What do you think of local AI?

Local AI 101: open models, Hugging Face, and businesses to build (38 min masterclass) I still think cloud AI is the default for most things, and honestly it should be, the frontier models are the strongest and easiest to use. But something shifted in the last 4-5 months. You can now run genuinely good open models directly on your own laptop, or even your phone. And once you actually try it, it changes how you think about what AI is even for. LOCAL AI, CLEARLY EXPLAINED: 1. The model is the brain doing the thinking. Gemma, Llama, Mistral, and Qwen are the main families, and each is better at different things, some at reasoning, some at coding, some small enough to run on a phone. 2. Hugging Face is the warehouse where you find them. You go there to see what each model is good at, check the license, and grab the compressed versions that run on a normal computer. 3. The software is what runs the model on your machine. Start with LM Studio if you're not technical, it feels like a normal app where you search, download, and start chatting. Ollama is the one you reach for when you want to plug a model into your own apps. 4. The workflow is the actual product you build on top of it all. That's what I'm ideating around for some businesses to create. I think local AI just made a specific kind of business way easier to start. Find an industry that: 1. Sits on sensitive data they'd never paste into ChatGPT 2. Does the same review over and over 3. Runs on software from 2003 Then build a local AI tool that does that review on their own machine, so the data never leaves the building! Take home health agencies. Nurses write visit notes all day, and if a note is missing a detail, the billing gets denied or the audit flags it. Here's how I'd start: 1. Find 5 small agencies. Offer to review a batch of their notes for them. 2. Run the notes through Gemma locally (free, private, no cloud). Read every output yourself. 3. Write down the 20 issues that keep showing up: missing vitals, vague med changes, notes that don't support the billed level. 4. That list of 20 is your checklist. The checklist is the product. 5. Turn it into a local desktop app that flags those 20 things before a note gets submitted. You just went from a service anyone could offer to a product nobody else has, and you learned exactly what to build by doing the work by hand first. Same recipe works for restoration contractors (draft the damage report on-site before the tech leaves) and wealth advisors (catch the compliance landmine in a client email before it sends). Basically the framework is sensitive data, repeated review, ancient software. I think there are tons of businesses like this! Almost none of it clicked for me until I actually started using local AI. So if you take one thing from this, go run a model on your own machine once. Also a fun thing to try with your friends. Feel free to send this to a friend. The episode is live for free on The Startup Ideas Podcast (SIP) 🧃 (thanks to Google for sponsoring today's episode and supporting local AI) I feel like local AI one of those things you need to try for it to really click. Run one model on your own machine and you'll see what I mean! I go way deeper in the full 38 minute masterclass, the models, the setup, and the businesses to build. Link below. LINK TO WATCH: OR WATCH BELOW ON X What do you think of local AI?

GREG ISENBERG

33,698 Aufrufe • vor 1 Monat

A Nigerian woman provides instructions to asylum seekers on how to vote in Irish local elections. Since 2004, asylum seekers from Africa, Asia, and everywhere else on earth have had the right to vote in Irish local elections. Fianna Fáil, the party that's still in control of the government, is responsible for the decision. We saw the importance of local elections not long ago when the Councils decided who would be allowed to run for President of Ireland. Our democracy has been completely subverted, this should be a national emergency. Let me repeat it slowly in case you aren't getting the point.... Random men from Africa can arrive in Ireland a few weeks before a local election and cast a vote that will have consequences for you and your family.

A Nigerian woman provides instructions to asylum seekers on how to vote in Irish local elections. Since 2004, asylum seekers from Africa, Asia, and everywhere else on earth have had the right to vote in Irish local elections. Fianna Fáil, the party that's still in control of the government, is responsible for the decision. We saw the importance of local elections not long ago when the Councils decided who would be allowed to run for President of Ireland. Our democracy has been completely subverted, this should be a national emergency. Let me repeat it slowly in case you aren't getting the point.... Random men from Africa can arrive in Ireland a few weeks before a local election and cast a vote that will have consequences for you and your family.

MichaeloKeeffe

32,271 Aufrufe • vor 5 Monaten

New course: Spec-Driven Development with Coding Agents, built in partnership with JetBrains, and taught by Paul Everitt | @pauleveritt@fosstodon.org. Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed spec defining what to build, and work with your coding agent to implement it. Many of the best developers already build this way. A spec lets you control large code changes with a few words, preserve context across agent sessions, and stay in control as your project grows in complexity. Skills you'll gain: - Write a detailed specification to define your mission, tech stack, and roadmap, giving your agent the context it needs from the start - Plan, implement, and validate features in iterative loops using a spec as your agent's guide - Apply the same repeatable workflow to both new and legacy codebases - Package your workflow into a portable agent skill that works across agents and IDEs Join and write specs that keep your coding agent on track!

New course: Spec-Driven Development with Coding Agents, built in partnership with JetBrains, and taught by Paul Everitt | @[email protected]. Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed spec defining what to build, and work with your coding agent to implement it. Many of the best developers already build this way. A spec lets you control large code changes with a few words, preserve context across agent sessions, and stay in control as your project grows in complexity. Skills you'll gain: - Write a detailed specification to define your mission, tech stack, and roadmap, giving your agent the context it needs from the start - Plan, implement, and validate features in iterative loops using a spec as your agent's guide - Apply the same repeatable workflow to both new and legacy codebases - Package your workflow into a portable agent skill that works across agents and IDEs Join and write specs that keep your coding agent on track!

Andrew Ng

466,554 Aufrufe • vor 6 Monaten

I’ve been waiting for this for a long time: today we’re introducing an important new tool for grant writing -> QED’s “Implementation Agent”! Starting TODAY, the constructive comments QED Science gives you will appear directly on your DOCX file. q.e.d’s die-hard fans know that our AI gives you the hard truth, pointing out the weaknesses that will fail your grant or paper. The Implementation Agent doesn’t just highlight the problems your grant may face. Instead, it works with you directly on your manuscript, the very same document you’re working on, suggests ways to strengthen weak points in your proposal, and applies the changes you approve directly to the file. It doesn’t mess up your formatting and feels very natural, just like sending a draft of your grant to a colleague and getting back feedback as comments and track changes. 😻The waitlist is open:

I’ve been waiting for this for a long time: today we’re introducing an important new tool for grant writing -> QED’s “Implementation Agent”! Starting TODAY, the constructive comments QED Science gives you will appear directly on your DOCX file. q.e.d’s die-hard fans know that our AI gives you the hard truth, pointing out the weaknesses that will fail your grant or paper. The Implementation Agent doesn’t just highlight the problems your grant may face. Instead, it works with you directly on your manuscript, the very same document you’re working on, suggests ways to strengthen weak points in your proposal, and applies the changes you approve directly to the file. It doesn’t mess up your formatting and feels very natural, just like sending a draft of your grant to a colleague and getting back feedback as comments and track changes. 😻The waitlist is open:

Oded Rechavi

29,866 Aufrufe • vor 4 Monaten