Amp is the coding agent and development environment that runs anywhere and everywhere.

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"Just use a cheaper model" sounds like saving money. But fiber didn't just make your internet faster. It made whole new businesses possible. @thorstenball and @sqs discuss how the same is true with frontier models.
Would you prefer to save money with dial-up when your competitors are using fiber? Recorded on Hot Take Thursday, @sqs and @thorstenball are back with a new Raising An Agent. In this episode they discuss how cheaper models end up costing more, why they do not not wait for agents, running evals in Orbs, and the hot takes Thorsten left out of his X post last week. 00:00 Intro: Engineers who forget the history of technology 01:55 Hot Take Thursday & a €50-a-week token budget 05:14 Why cheap models cost more than frontier models 08:11 Token budgets & who gets priced out 14:06 Disrupt yourself with small teams & unlimited tokens 16:38 Agents go horizontal across the software lifecycle 20:56 Rollouts, bug reports & "I'm feeling Pucky" 23:53 Code review, monorepos & other walls around the agent 25:30 How to show a cautious company what agents can do 29:48 Why most people haven't seen what agents can do 31:57 Don't wait for your agent 33:38 Simple evals & agents testing agents in Orbs 38:27 Why Amp has runners too 40:47 Follow your energy & stay aligned 46:33 The hot take Thorsten left out 54:14 Do languages & frameworks still matter?
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Would you prefer to save money with dial-up when your competitors are using fiber? Recorded on Hot Take Thursday, @sqs and @thorstenball are back with a new Raising An Agent. In this episode they discuss how cheaper models end up costing more, why they do not not wait for agents, running evals in Orbs, and the hot takes Thorsten left out of his X post last week. 00:00 Intro: Engineers who forget the history of technology 01:55 Hot Take Thursday & a €50-a-week token budget 05:14 Why cheap models cost more than frontier models 08:11 Token budgets & who gets priced out 14:06 Disrupt yourself with small teams & unlimited tokens 16:38 Agents go horizontal across the software lifecycle 20:56 Rollouts, bug reports & "I'm feeling Pucky" 23:53 Code review, monorepos & other walls around the agent 25:30 How to show a cautious company what agents can do 29:48 Why most people haven't seen what agents can do 31:57 Don't wait for your agent 33:38 Simple evals & agents testing agents in Orbs 38:27 Why Amp has runners too 40:47 Follow your energy & stay aligned 46:33 The hot take Thorsten left out 54:14 Do languages & frameworks still matter?
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@sqs and @thorsten on the decay of the local dev env: "We found this with the shift to orbs, when as soon as you started making the Orb environment good, that's all people ever wanted to use."
What is the computer for now? In Raising an Agent S2E4, @sqs and @thorstenball explore how agents can do more than just ship code, discuss recent outages, and ask what happens to our computers when more work moves into Orbs. 00:00 Intro: What is the computer for now? 01:32 New models & aiming higher with agents 04:42 An agent's job after the code ships 10:19 Mini evals & keeping the team's context in threads 13:38 Performance testing & production canaries 18:36 Amp's recent outages & what went wrong 24:44 Shipping faster & the tradeoffs of redundancy 28:34 How fast can an engineering team go? 32:27 Making production logs & metrics useful to agents 37:15 Beyond local development 41:30 Agents building 3D models & virtual worlds 43:35 Simpler devices & dictating work on the go 47:29 What happens to the tools we love? 49:27 Steering, queuing & changing workflows
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@sqs on the advantage of using a single coding agent across the whole org: "All of our intent, all of our history, is in Amp, in threads, in something that's legible to the agent." "You can see why this was added here, and you don't just get the commit message, you also get everything the human said to get it there." "If you are a company that's using seven different agents... I understand why a lot of companies do that, that might be a reality, but you are going to lose out on a lot of Agent Power if you do not have all of that context accessible to the agent."
What is the computer for now? In Raising an Agent S2E4, @sqs and @thorstenball explore how agents can do more than just ship code, discuss recent outages, and ask what happens to our computers when more work moves into Orbs. 00:00 Intro: What is the computer for now? 01:32 New models & aiming higher with agents 04:42 An agent's job after the code ships 10:19 Mini evals & keeping the team's context in threads 13:38 Performance testing & production canaries 18:36 Amp's recent outages & what went wrong 24:44 Shipping faster & the tradeoffs of redundancy 28:34 How fast can an engineering team go? 32:27 Making production logs & metrics useful to agents 37:15 Beyond local development 41:30 Agents building 3D models & virtual worlds 43:35 Simpler devices & dictating work on the go 47:29 What happens to the tools we love? 49:27 Steering, queuing & changing workflows
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"I'm just pointing at things and saying, make it like this and ship this and do this. The altitude is so high. It's wild. Even compared to two months ago." @thorstenball on using agents for the whole lifecycle of a feature: building, testing, shipping, monitoring the rollout, toggling feature flags, talking to users.
What is the computer for now? In Raising an Agent S2E4, @sqs and @thorstenball explore how agents can do more than just ship code, discuss recent outages, and ask what happens to our computers when more work moves into Orbs. 00:00 Intro: What is the computer for now? 01:32 New models & aiming higher with agents 04:42 An agent's job after the code ships 10:19 Mini evals & keeping the team's context in threads 13:38 Performance testing & production canaries 18:36 Amp's recent outages & what went wrong 24:44 Shipping faster & the tradeoffs of redundancy 28:34 How fast can an engineering team go? 32:27 Making production logs & metrics useful to agents 37:15 Beyond local development 41:30 Agents building 3D models & virtual worlds 43:35 Simpler devices & dictating work on the go 47:29 What happens to the tools we love? 49:27 Steering, queuing & changing workflows
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What is the computer for now? In Raising an Agent S2E4, @sqs and @thorstenball explore how agents can do more than just ship code, discuss recent outages, and ask what happens to our computers when more work moves into Orbs. 00:00 Intro: What is the computer for now? 01:32 New models & aiming higher with agents 04:42 An agent's job after the code ships 10:19 Mini evals & keeping the team's context in threads 13:38 Performance testing & production canaries 18:36 Amp's recent outages & what went wrong 24:44 Shipping faster & the tradeoffs of redundancy 28:34 How fast can an engineering team go? 32:27 Making production logs & metrics useful to agents 37:15 Beyond local development 41:30 Agents building 3D models & virtual worlds 43:35 Simpler devices & dictating work on the go 47:29 What happens to the tools we love? 49:27 Steering, queuing & changing workflows
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"I could just replace that with EC2 and some shell scripts and get the same thing." But could you? Thoughts and question of when to build and when to buy. And @sqs putting @thorstenball fully on the spot by asking him whether people should build their own Amp or not.
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@thorstenball's pet theory on why engineers are so busy tweaking skills and tools and workflows: "Because it can't be that easy, right?"
Raising an Agent, S2E3: When Tokens Flow Like Electricity. @sqs and @thorstenball on what happens when intelligence gets cheap: build vs. buy flips, why everyone building software to build software to do X is probably incorrect, and when software starts to feel like owning a house instead of renting one. 00:00 Intro: Cheap intelligence & doing X instead of building software to do X 01:06 Back home after Munich & what's changed in how we build 02:06 Predictions: the price of intelligence drops, tokens flow like electricity 05:54 Everyone is building dev tools & why that's the wrong bet 06:57 Pet theory: engineers can't believe it's this easy 10:33 Orbs vs. EC2, a VPN & tmux 17:18 Build vs. buy when the models keep changing 20:14 If Amp is worth buying, why isn't an issue tracker? 27:34 Killing features & vibe coding the 2% of a SaaS product you need 30:03 Build on a solid core: glue code is the worst part 33:19 The two Amps: jellyware, homeowners & renters 37:01 Exporting the Amp way to more teams 43:42 Opinionated software from people you trust
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Replying to @bedesqui @PuckOfAmp
Someone begs to differ
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Quinn on everyone now building developer tooling: "Just building software to do X is only valuable if you can get people to pay and I think that's going to be a lot harder."
Raising an Agent, S2E3: When Tokens Flow Like Electricity. @sqs and @thorstenball on what happens when intelligence gets cheap: build vs. buy flips, why everyone building software to build software to do X is probably incorrect, and when software starts to feel like owning a house instead of renting one. 00:00 Intro: Cheap intelligence & doing X instead of building software to do X 01:06 Back home after Munich & what's changed in how we build 02:06 Predictions: the price of intelligence drops, tokens flow like electricity 05:54 Everyone is building dev tools & why that's the wrong bet 06:57 Pet theory: engineers can't believe it's this easy 10:33 Orbs vs. EC2, a VPN & tmux 17:18 Build vs. buy when the models keep changing 20:14 If Amp is worth buying, why isn't an issue tracker? 27:34 Killing features & vibe coding the 2% of a SaaS product you need 30:03 Build on a solid core: glue code is the worst part 33:19 The two Amps: jellyware, homeowners & renters 37:01 Exporting the Amp way to more teams 43:42 Opinionated software from people you trust
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Google is now officially reporting an incident:
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Google Cloud reports connectivity issues between VMs, which results in us not being able to scale resources up/down as necessary. GKE is not working as intended. We're in the process of moving data around so we can be available on the nodes that are available.
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We're investigating an infrastructure failure that causes large parts of ampcode.com being unavailable. Sorry about that. We'll keep you updated on ampcodestatus.com/.
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What can United Airlines teach Anthropic and OpenAI about pricing? Or, what does flying economy have to do with token subsidies?
Raising an Agent, S2E3: When Tokens Flow Like Electricity. @sqs and @thorstenball on what happens when intelligence gets cheap: build vs. buy flips, why everyone building software to build software to do X is probably incorrect, and when software starts to feel like owning a house instead of renting one. 00:00 Intro: Cheap intelligence & doing X instead of building software to do X 01:06 Back home after Munich & what's changed in how we build 02:06 Predictions: the price of intelligence drops, tokens flow like electricity 05:54 Everyone is building dev tools & why that's the wrong bet 06:57 Pet theory: engineers can't believe it's this easy 10:33 Orbs vs. EC2, a VPN & tmux 17:18 Build vs. buy when the models keep changing 20:14 If Amp is worth buying, why isn't an issue tracker? 27:34 Killing features & vibe coding the 2% of a SaaS product you need 30:03 Build on a solid core: glue code is the worst part 33:19 The two Amps: jellyware, homeowners & renters 37:01 Exporting the Amp way to more teams 43:42 Opinionated software from people you trust
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Is vibe coding fun? Or does it take away the funnest parts of programming and leave you with the rest?
Raising an Agent, S2E3: When Tokens Flow Like Electricity. @sqs and @thorstenball on what happens when intelligence gets cheap: build vs. buy flips, why everyone building software to build software to do X is probably incorrect, and when software starts to feel like owning a house instead of renting one. 00:00 Intro: Cheap intelligence & doing X instead of building software to do X 01:06 Back home after Munich & what's changed in how we build 02:06 Predictions: the price of intelligence drops, tokens flow like electricity 05:54 Everyone is building dev tools & why that's the wrong bet 06:57 Pet theory: engineers can't believe it's this easy 10:33 Orbs vs. EC2, a VPN & tmux 17:18 Build vs. buy when the models keep changing 20:14 If Amp is worth buying, why isn't an issue tracker? 27:34 Killing features & vibe coding the 2% of a SaaS product you need 30:03 Build on a solid core: glue code is the worst part 33:19 The two Amps: jellyware, homeowners & renters 37:01 Exporting the Amp way to more teams 43:42 Opinionated software from people you trust
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You can also watch it on YouTube: piped.video/SI3N8MCQHfo Or listen to it on Spotify: open.spotify.com/show/1AL44J… If you want to listen to all of them: ampcode.com/podcast
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Raising an Agent, S2E3: When Tokens Flow Like Electricity. @sqs and @thorstenball on what happens when intelligence gets cheap: build vs. buy flips, why everyone building software to build software to do X is probably incorrect, and when software starts to feel like owning a house instead of renting one. 00:00 Intro: Cheap intelligence & doing X instead of building software to do X 01:06 Back home after Munich & what's changed in how we build 02:06 Predictions: the price of intelligence drops, tokens flow like electricity 05:54 Everyone is building dev tools & why that's the wrong bet 06:57 Pet theory: engineers can't believe it's this easy 10:33 Orbs vs. EC2, a VPN & tmux 17:18 Build vs. buy when the models keep changing 20:14 If Amp is worth buying, why isn't an issue tracker? 27:34 Killing features & vibe coding the 2% of a SaaS product you need 30:03 Build on a solid core: glue code is the worst part 33:19 The two Amps: jellyware, homeowners & renters 37:01 Exporting the Amp way to more teams 43:42 Opinionated software from people you trust
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Do you still need to read every line of code? Or are there faster ways, even if you want to be 100% confident about a code change?
Episode 2 of Raising an Agent Season 2: Orbs and Jellyware. @sqs and @thorstenball recorded this one together in person in Munich last week, where the whole Amp team had gathered for a week of building. They discuss why isolated Orbs make it easier to run agents in parallel, how the team asks agents for exhaustive verification, and how production itself can become a feedback loop. They also discuss jellyware: high-quality software that is designed to change quickly. When agents make software more malleable, teams can fix bugs faster and raise the quality bar instead of lowering it. 00:00 Intro: Agents in Orbs & production feedback loops 01:17 Recording together in Munich & what shipped since episode 1 03:56 How the Amp team adopted Orbs 07:00 Giving agents safe production access 11:01 Zero-friction threads & the limits of local checkouts 13:02 Asking agents for 100% proof 18:54 Production as a feedback loop 22:15 Multiplayer & agents as collaborative tools 24:13 Design workflows with Portals 27:27 High-quality software beyond vibe coding 31:17 How code review changes when agents write the code 35:26 Dictation & getting better context into agents 39:08 Jellyware: high-quality software that changes fast 42:27 Faster bug fixes, feedback & the quality budget 49:34 What Amp shipped: subscriptions, Puck, and agent communication 51:42 Automations, polling, and webhooks
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What changes when each agent gets its own disposable computer? For us, turns out a lot.
Episode 2 of Raising an Agent Season 2: Orbs and Jellyware. @sqs and @thorstenball recorded this one together in person in Munich last week, where the whole Amp team had gathered for a week of building. They discuss why isolated Orbs make it easier to run agents in parallel, how the team asks agents for exhaustive verification, and how production itself can become a feedback loop. They also discuss jellyware: high-quality software that is designed to change quickly. When agents make software more malleable, teams can fix bugs faster and raise the quality bar instead of lowering it. 00:00 Intro: Agents in Orbs & production feedback loops 01:17 Recording together in Munich & what shipped since episode 1 03:56 How the Amp team adopted Orbs 07:00 Giving agents safe production access 11:01 Zero-friction threads & the limits of local checkouts 13:02 Asking agents for 100% proof 18:54 Production as a feedback loop 22:15 Multiplayer & agents as collaborative tools 24:13 Design workflows with Portals 27:27 High-quality software beyond vibe coding 31:17 How code review changes when agents write the code 35:26 Dictation & getting better context into agents 39:08 Jellyware: high-quality software that changes fast 42:27 Faster bug fixes, feedback & the quality budget 49:34 What Amp shipped: subscriptions, Puck, and agent communication 51:42 Automations, polling, and webhooks
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