Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

Anthropic engineer: "Over 90% of Anthropic engineers use a self-improving agentic loop for coding. The key is to close the loop: give the agent a way to verify and improve its own work" In this 12-minute talk, an Anthropic engineer explains how to build an agent that continuously improves... show more

unicode

1,341 subscribers

61,445 Aufrufe • vor 9 Tagen •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Anthropic research lead: "99% of our engineers are running swarms of 300+ self-improving agents. close the agent loop. Give the model a way to verify its own output" in a 20-minute session, Anthropic team member explains how to build a model that improves itself. Claude + loops + plan mode + dynamic workflows -that’s the secret. Watch the talk, then save the playbook below.

Anthropic research lead: "99% of our engineers are running swarms of 300+ self-improving agents. close the agent loop. Give the model a way to verify its own output" in a 20-minute session, Anthropic team member explains how to build a model that improves itself. Claude + loops + plan mode + dynamic workflows -that’s the secret. Watch the talk, then save the playbook below.

Codez

661,437 Aufrufe • vor 17 Tagen

OpenAI engineer: “90% of our engineers use Codex subagent harnesses + loops to ship code 5× faster. close the agent loop. Give an agent a way to verify its own output.” in 30-minute talk, an OpenAI engineer explains how to build self-improving agentic systems with harnesses. Worth more than a $500 agentic course online. Watch it today, then read how hedge funds apply loop engineering in trading.

OpenAI engineer: “90% of our engineers use Codex subagent harnesses + loops to ship code 5× faster. close the agent loop. Give an agent a way to verify its own output.” in 30-minute talk, an OpenAI engineer explains how to build self-improving agentic systems with harnesses. Worth more than a $500 agentic course online. Watch it today, then read how hedge funds apply loop engineering in trading.

Movez

39,438 Aufrufe • vor 12 Tagen

Anthropic Research Lead: "99% of our engineers run swarms of 300+ self-improving agents" "Close the loop, give the model a way to verify its own output" In a 20-minute session, an Anthropic Team member breaks down how to build agents that improve themselves The real setup is Claude running through loops, plan mode, and dynamic workflows Better than most $300 agent courses Bookmark and watch the talk Then read the article below

Anthropic Research Lead: "99% of our engineers run swarms of 300+ self-improving agents" "Close the loop, give the model a way to verify its own output" In a 20-minute session, an Anthropic Team member breaks down how to build agents that improve themselves The real setup is Claude running through loops, plan mode, and dynamic workflows Better than most $300 agent courses Bookmark and watch the talk Then read the article below

rari

377,971 Aufrufe • vor 13 Tagen

Anthropic Managed Agents Lead: "At Anthropic, >90% of our engineers are building with self-improving loops. In 4-6 months, it will be 100%. my agentic loops can run for hours without spending hundreds of dollars." in this 40-minute podcast, an Anthropic team lead reveals how to build effective agents from scratch. Agent → harness → loops → memory = modern agent This one video will replace 10 paid courses on vibe-coding. Watch it today, then explore the same setup in the article below.

Anthropic Managed Agents Lead: "At Anthropic, >90% of our engineers are building with self-improving loops. In 4-6 months, it will be 100%. my agentic loops can run for hours without spending hundreds of dollars." in this 40-minute podcast, an Anthropic team lead reveals how to build effective agents from scratch. Agent → harness → loops → memory = modern agent This one video will replace 10 paid courses on vibe-coding. Watch it today, then explore the same setup in the article below.

Codez

480,210 Aufrufe • vor 7 Tagen

Anthropic engineer: "At Antropic, >80% of our engineers are building with self-improving loops. in 3-6 months, it will be 100%. my agentic loops can run for hours without spending hundreds of $$$." in 30-minute podcast, an Antropic engineer shows how to build the right spec for an agentic loop. Loop + plan + PRDs + spec + markdown - that’s the secret stack. Worth more than a $500 agentic course on the internet. Watch it now, then read how quants are building trading loops from scratch.

Anthropic engineer: "At Antropic, >80% of our engineers are building with self-improving loops. in 3-6 months, it will be 100%. my agentic loops can run for hours without spending hundreds of $$$." in 30-minute podcast, an Antropic engineer shows how to build the right spec for an agentic loop. Loop + plan + PRDs + spec + markdown - that’s the secret stack. Worth more than a $500 agentic course on the internet. Watch it now, then read how quants are building trading loops from scratch.

Movez

273,928 Aufrufe • vor 10 Tagen

Anthropic engineers just showed how to build agentic systems that run for days using "loops." "At Anthropic, >30% of our code is already written by loops - that's how we ship so fast. in this 40-minute workshop, they reveal the whole stack: agent loop + harness + memory + sub-agents. Worth more than any $500 vibe-coding course. Watch workshop today, then read article below.

Anthropic engineers just showed how to build agentic systems that run for days using "loops." "At Anthropic, >30% of our code is already written by loops - that's how we ship so fast. in this 40-minute workshop, they reveal the whole stack: agent loop + harness + memory + sub-agents. Worth more than any $500 vibe-coding course. Watch workshop today, then read article below.

Movez

511,087 Aufrufe • vor 13 Tagen

Anthropic Managed Agents team: "Fable 5 - is our best model for self-improving agent systems. add /loops, dynamic workflows, dreaming - and you're unstoppable." in 13 minutes, the Anthropic team shows how to build self-improving agent systems with Fable 5 from scratch. Worth more than a $500 agent-building course. Live from the Anthropic stage in Japan. Unpublished

Anthropic Managed Agents team: "Fable 5 - is our best model for self-improving agent systems. add /loops, dynamic workflows, dreaming - and you're unstoppable." in 13 minutes, the Anthropic team shows how to build self-improving agent systems with Fable 5 from scratch. Worth more than a $500 agent-building course. Live from the Anthropic stage in Japan. Unpublished

Movez

67,091 Aufrufe • vor 23 Tagen

Anthropic Product Lead: "At Anthropic, our engineers are running swarms of 300+ agents daily. Give your agents 100+ tools - just don’t load them all into context." In a 30-minute talk, the Anthropic team shows how to deploy agents to production. Claude + loops + routines + dynamic workflows - that’s the secret. Watch the talk, then save the playbook below.

Anthropic Product Lead: "At Anthropic, our engineers are running swarms of 300+ agents daily. Give your agents 100+ tools - just don’t load them all into context." In a 30-minute talk, the Anthropic team shows how to deploy agents to production. Claude + loops + routines + dynamic workflows - that’s the secret. Watch the talk, then save the playbook below.

Movez

242,852 Aufrufe • vor 18 Tagen

Creator of Claude Code: "At Anthropic, almost 100% of our engineers are running 100+ agents with self-improving loops self-improving loops help agents become better with each run." in a 1-hour podcast, Boris explains how they build agents loops from sratch. Claude + loops + routines + dynamic workflows - that’s the secret. Watch the talk, then read how to apply the same playbook to quant trading below.

Creator of Claude Code: "At Anthropic, almost 100% of our engineers are running 100+ agents with self-improving loops self-improving loops help agents become better with each run." in a 1-hour podcast, Boris explains how they build agents loops from sratch. Claude + loops + routines + dynamic workflows - that’s the secret. Watch the talk, then read how to apply the same playbook to quant trading below.

Movez

633,024 Aufrufe • vor 17 Tagen

Ex-Google engineer reveals how to build AI agent loops, harnesses, LLM ops, and evals in 19 minutes. Trace → evaluate → diagnose → fix → ship → repeat. That loop is how agents self-improve over time. Agentic loops + harness + memory + evals - that’s the senior engineer stack. This is better than $500 paid courses on the same topic, explained in under 20 minutes. Watch it, then save the framework below.

Ex-Google engineer reveals how to build AI agent loops, harnesses, LLM ops, and evals in 19 minutes. Trace → evaluate → diagnose → fix → ship → repeat. That loop is how agents self-improve over time. Agentic loops + harness + memory + evals - that’s the senior engineer stack. This is better than $500 paid courses on the same topic, explained in under 20 minutes. Watch it, then save the framework below.

Codez

160,510 Aufrufe • vor 6 Tagen

Claude Code creator: "At Anthropic, 90% of our engineers are running agents with self-improving loops. in 3-6 months, everyone will be running /loops - this is the future of engineering" in a 1-hour podcast, Boris Cherny reveals the best tips for building Claude Code automations. Claude + loops + routines + dynamic workflows - that’s the secret. Watch the talk, then read how to apply and build the same setup in the article below.

Claude Code creator: "At Anthropic, 90% of our engineers are running agents with self-improving loops. in 3-6 months, everyone will be running /loops - this is the future of engineering" in a 1-hour podcast, Boris Cherny reveals the best tips for building Claude Code automations. Claude + loops + routines + dynamic workflows - that’s the secret. Watch the talk, then read how to apply and build the same setup in the article below.

Movez

267,701 Aufrufe • vor 15 Tagen

Anthropic Managed Agents team: "Fable 5 is our best model for running self-improving agent systems. Add /loops, dynamic workflows, dreaming and you are unstoppable" in 13-minutes, Anthropic team shows how to build self-improving agent systems with Fable 5 from scratch. Worth more than a $500 agent building course. Live from the last Anthropic stage in Japan. Unpublished.

Anthropic Managed Agents team: "Fable 5 is our best model for running self-improving agent systems. Add /loops, dynamic workflows, dreaming and you are unstoppable" in 13-minutes, Anthropic team shows how to build self-improving agent systems with Fable 5 from scratch. Worth more than a $500 agent building course. Live from the last Anthropic stage in Japan. Unpublished.

Codez

467,843 Aufrufe • vor 24 Tagen

The Claude Code SDK is now the Claude Agent SDK Why? Because we realized the Claude Code agent harness is useful for much more than coding. In fact, we're moving to using it to power most of our own agent loops at Anthropic.

The Claude Code SDK is now the Claude Agent SDK Why? Because we realized the Claude Code agent harness is useful for much more than coding. In fact, we're moving to using it to power most of our own agent loops at Anthropic.

Thariq

206,976 Aufrufe • vor 9 Monaten

ANTHROPIC LEAD ENGINEER MAKING $2.3M/YEAR JUST LEAKED A 12-PAGE DOCUMENT - AND GOT FIRED 15 MINUTES AFTER PUBLISHING most developers build loops - but almost every loop breaks in one of five ways, and each failure has a symptom visible from the outside without reading a single line of code > Blind loop - the agent waits for a human to hand it work every morning - automating execution but not discovery > Tangled loop - parallel agents share one directory and overwrite each other parallelism that destroys instead of multiplies > Nodding loop - the agent grades its own work and approves it every time a loop that has never said no to itself is broken > Amnesiac loop - results live only in the context window every morning the system wakes up with no memory of yesterday > Manual loop - no trigger a human presses the button to start it that is not a loop that is a script waiting for a person a real loop finds its own work - remembers what it did has something that can say no never lets two agents touch the same file and fires itself on a timer remove any one of the five - and the loop either breaks or never starts 12 pages that changed how I build agentic systems today

ANTHROPIC LEAD ENGINEER MAKING $2.3M/YEAR JUST LEAKED A 12-PAGE DOCUMENT - AND GOT FIRED 15 MINUTES AFTER PUBLISHING most developers build loops - but almost every loop breaks in one of five ways, and each failure has a symptom visible from the outside without reading a single line of code > Blind loop - the agent waits for a human to hand it work every morning - automating execution but not discovery > Tangled loop - parallel agents share one directory and overwrite each other parallelism that destroys instead of multiplies > Nodding loop - the agent grades its own work and approves it every time a loop that has never said no to itself is broken > Amnesiac loop - results live only in the context window every morning the system wakes up with no memory of yesterday > Manual loop - no trigger a human presses the button to start it that is not a loop that is a script waiting for a person a real loop finds its own work - remembers what it did has something that can say no never lets two agents touch the same file and fires itself on a timer remove any one of the five - and the loop either breaks or never starts 12 pages that changed how I build agentic systems today

Sprytix

111,225 Aufrufe • vor 1 Tag

Ex-Google engineer explained AI agent loops, harness, evals in 20 minutes - better than 500$ courses. trace every run → judge it with an LLM → diagnose → fix → ship. That loop is how agents self-improve over time. Agent loops + memory + harness + evals - thats the stack. Watch it, then save the framework below.

Ex-Google engineer explained AI agent loops, harness, evals in 20 minutes - better than 500$ courses. trace every run → judge it with an LLM → diagnose → fix → ship. That loop is how agents self-improve over time. Agent loops + memory + harness + evals - thats the stack. Watch it, then save the framework below.

Movez

549,095 Aufrufe • vor 7 Tagen

An AI engineer at Microsoft has just revealed how their teams build AI agents using Anthropic (Claude). It’s a free 34-minute workshop delivered directly by the Microsoft team. Save it to your favorites and watch it as soon as possible. 🔖 Opus 4.7 + more than 1,400 MCP tools already ready to use. You connect Claude to an agent → add tools → deploy it to production. It’s way more practical and useful than most of those “vibe-coding” courses that sell for 500).

An AI engineer at Microsoft has just revealed how their teams build AI agents using Anthropic (Claude). It’s a free 34-minute workshop delivered directly by the Microsoft team. Save it to your favorites and watch it as soon as possible. 🔖 Opus 4.7 + more than 1,400 MCP tools already ready to use. You connect Claude to an agent → add tools → deploy it to production. It’s way more practical and useful than most of those “vibe-coding” courses that sell for 500).

me

405,545 Aufrufe • vor 27 Tagen

Anthropic engineer: "Fable is one of those models you’ll just remember - like Sonnet 3.5, Opus 4, Opus 4.5. We just removed 80% of Claude Code’s system prompt. A new class of models wants a smaller prompt." in 20-minute session, an Anthropic core engineer reveals the capabilities of Fable. Watch it now, then read how to use this frontier model in the article below.

Anthropic engineer: "Fable is one of those models you’ll just remember - like Sonnet 3.5, Opus 4, Opus 4.5. We just removed 80% of Claude Code’s system prompt. A new class of models wants a smaller prompt." in 20-minute session, an Anthropic core engineer reveals the capabilities of Fable. Watch it now, then read how to use this frontier model in the article below.

Movez

542,788 Aufrufe • vor 4 Tagen

CLAUDE CODE + SELF-CORRECTING LOOP = THE FASTEST WAY TO BUILD AND MONETIZE APPS most developers burn thousands of dollars manually debugging this setup forces Claude Opus 4.8 to self-correct - replacing a $95k/year QA engineer with a loop that costs $20/month: > Builder agent writes code while Checker agent runs tests (separating them eliminates blind spots) > Orchestrator loops them until all tests pass, capped at 5 runs to save tokens > Regression guard blocks loops if a fix breaks previously passing tests without loop guards, agents will literally edit your test suite to force a pass bookmark this guide to set up the exact loop commands 👇

CLAUDE CODE + SELF-CORRECTING LOOP = THE FASTEST WAY TO BUILD AND MONETIZE APPS most developers burn thousands of dollars manually debugging this setup forces Claude Opus 4.8 to self-correct - replacing a $95k/year QA engineer with a loop that costs $20/month: > Builder agent writes code while Checker agent runs tests (separating them eliminates blind spots) > Orchestrator loops them until all tests pass, capped at 5 runs to save tokens > Regression guard blocks loops if a fix breaks previously passing tests without loop guards, agents will literally edit your test suite to force a pass bookmark this guide to set up the exact loop commands 👇

Mr. Buzzoni

35,357 Aufrufe • vor 11 Tagen

Boris Cherny, the engineer who built Claude Code: "I don't talk to an agent anymore. I talk to a loop" a prompt is one instruction you babysit. a loop is a goal the AI works toward on its own: > it plans > does the work > checks itself > fixes what's weak > and repeats until it's done you step out, the work keeps going that's the shift the best engineers quietly moved to. most people hear a line like that and have no idea what it means in practice this breaks it down without the hype: what a loop actually is, when it's worth building, when it's a money trap, and how to run one yourself today watch his clip, then read the article below

Boris Cherny, the engineer who built Claude Code: "I don't talk to an agent anymore. I talk to a loop" a prompt is one instruction you babysit. a loop is a goal the AI works toward on its own: > it plans > does the work > checks itself > fixes what's weak > and repeats until it's done you step out, the work keeps going that's the shift the best engineers quietly moved to. most people hear a line like that and have no idea what it means in practice this breaks it down without the hype: what a loop actually is, when it's worth building, when it's a money trap, and how to run one yourself today watch his clip, then read the article below

Dep

20,529 Aufrufe • vor 15 Tagen

openai’s third agent ships today “the third that is coming is what we call 'A-SWE', or agentic software engineer. this is not just augmenting the current software engineers in your workforce… but instead it’s literally an agentic software engineer that can build an app for you. it can take a PR that you would give to any other engineer and go build it; but not only does it build it, it does all the things that software engineers hate to do. it does its own quality assurance, its own bug testing and bug bashing, and it does documentation—things that you can never get software engineers to do.” — sarah friar, openai CFO, early march

openai’s third agent ships today “the third that is coming is what we call 'A-SWE', or agentic software engineer. this is not just augmenting the current software engineers in your workforce… but instead it’s literally an agentic software engineer that can build an app for you. it can take a PR that you would give to any other engineer and go build it; but not only does it build it, it does all the things that software engineers hate to do. it does its own quality assurance, its own bug testing and bug bashing, and it does documentation—things that you can never get software engineers to do.” — sarah friar, openai CFO, early march

morgan —

59,649 Aufrufe • vor 1 Jahr