I really like this para:
> Another significant change is that workflows can be long‑lived and self‑healing: if run on always-on compute like servers, agents can schedule and repair persistent or recurring work like report generation, data pipelines, or crawl-and-summarize tasks, always resuming from state,with a general purpose recovery mechanism. The significance of generality is worth calling out, because in some sense it is the crux of what is new. These systems are inherently more robust than traditional symbolic programs because they have a modality that is complete at the expense of consistency: all inputs will produce some response from an LLM, whereas most possible inputs will crash most classical functions. Whether or not the general handler will “do the right thing” comes down to the quality of the specification.
And this one:
> When the shape of programming changes to encapsulate multiple levels of abstraction, the basic unit of work changes from specifying lines of code to specifying any of: line of code, logic, function, capability, behavior, application. Our new programs will buy determinism with checks. Type systems, property‑based tests, schema checks, idempotent operations (declarative codegen), and permission policies make runs repeatable and failures bounded; agents work is graded by those deterministic gates.
Maven.com | Full stack product engineer | Full-time | Remote (USA, Canada)
Maven is the missing grad school for technology jobs. We have the largest collection of expert-led cohort-based-courses on the topics that matter most for today's careers.
We’re looking for full-stack product engineers to own big parts of our fast growing marketplace, from recommendation systems to data infrastructure to the course experience at the center of it.
The ideal candidate has shipped meaningful features to a real user base and is comfortable with the broad set of concerns that come with building production web apps.
You will have a high degree of ownership over our technical systems, and will be able to shape our product direction and the evolution of your own role.
We are a team of just under 20, have raised $25 million from a16z and First Round, and are growing towards profitability in the coming year and half.
We use React+Nextjs, Python+FastAPI, Postgres+OpenSearch, OpenAI, dbt+Snowflake.
Read more at https://maven.com/s/eng-jd And email eng [at] our website with your resume and a note about yourself and your work.
Maven is the missing grad school for technology jobs. We have the largest collection of expert-led cohort-based-courses on the topics that matter most for today's careers.
We’re looking for full-stack product engineers to own big parts of our fast growing marketplace, from recommendation systems to data infrastructure to the course experience at the center of it.
The ideal candidate has shipped meaningful features to a real user base and is comfortable with the broad set of concerns that come with building production web apps.
You will have a high degree of ownership over our technical systems, and will be able to shape our product direction and the evolution of your own role.
We are a team of just under 20, have raised $25 million from a16z and First Round, and are growing towards profitability in the coming year and half.
We use React+Nextjs, Python+FastAPI, Postgres+OpenSearch, OpenAI, dbt+Snowflake.
Read more at https://maven.com/s/eng-jd
And email eng [at] our website with your resume and a note about yourself and your work.
Maven is the missing grad school for technology jobs. We have the largest collection of expert-led cohort-based-courses on the topics that matter most for today's careers.
We’re looking for full-stack product engineers to own big parts of our fast growing marketplace, from recommendation systems to data infrastructure to the course experience at the center of it.
The ideal candidate has shipped meaningful features to a real user base and is comfortable with the broad set of concerns that come with building production web apps.
You will have a high degree of ownership over our technical systems, and because we believe in giving people as much responsibility as they want, you will also be able to shape our product direction and the evolution of your own role.
We are a team of just under 20, have raised $25 million from a16z and First Round, and are growing towards profitability in the coming year and half.
We use React+Nextjs, Python+FastAPI, Postgres+OpenSearch, OpenAI, dbt+Snowflake.
Maven is the best way to teach and learn critical career skills after college, with the largest marketplace of expert-led tech and business cohort-based courses.
We're 15 people, have raised $25 million, are earning revenue, fully remote but tight knit, very experienced, and building a new way to learn that students and instructors love.
You'll own major parts of the system, build end-to-end features, and have a voice in shaping the roadmap and company.
Maven is the best way to teach and learn critical career skills after college, through the largest marketplace of expert-led tech and business cohort-based courses.
We're 15 people, have raised $25 million, are earning revenue, fully remote but tight knit, very experienced, and building a new way to learn that we're very proud of.
You'll own major parts of the system, build end-to-end features, and have a voice in shaping the roadmap and company.
About us: building the university of the future, starting with the largest marketplace of expert-led cohort-based-courses on the Internet.
We're a 5 person eng team and a 15 person team led by the founders of Udemy, Venmo, Socratic. Raised $25 million from a16z and First Round in 2021, have 3+ years of runway, and are hitting our best months every month.
You'll own major parts of the system, build end-to-end features, and have a voice in shaping the roadmap and company.
About us: building the university of the future, starting with the largest marketplace of expert-led cohort-based-courses on the Internet.
We're a 5 person eng team and a 15 person team led by the founders of Udemy, Venmo, Socratic. Raised $25 million from a16z and First Round in 2021, have 3+ years of runway, and are hitting our best months every month.
You'll own major parts of the system, build end-to-end features, and have a voice in shaping the roadmap and company.
I really like this para: > Another significant change is that workflows can be long‑lived and self‑healing: if run on always-on compute like servers, agents can schedule and repair persistent or recurring work like report generation, data pipelines, or crawl-and-summarize tasks, always resuming from state,with a general purpose recovery mechanism. The significance of generality is worth calling out, because in some sense it is the crux of what is new. These systems are inherently more robust than traditional symbolic programs because they have a modality that is complete at the expense of consistency: all inputs will produce some response from an LLM, whereas most possible inputs will crash most classical functions. Whether or not the general handler will “do the right thing” comes down to the quality of the specification.
And this one: > When the shape of programming changes to encapsulate multiple levels of abstraction, the basic unit of work changes from specifying lines of code to specifying any of: line of code, logic, function, capability, behavior, application. Our new programs will buy determinism with checks. Type systems, property‑based tests, schema checks, idempotent operations (declarative codegen), and permission policies make runs repeatable and failures bounded; agents work is graded by those deterministic gates.