's building blocks.
That's why the flow shapes are kept in the database - this allows streaming their progress using Supabase Realtime! ⚡ How cool is that?
November prototype (can anyone spot a little bug?):
Next up: Edge Worker refactor to make it run flows defined with the DSL.
Check out the snippet for a simple AI web-scraping flow. 🤖
Next up: Edge Worker refactor to make it run flows defined with the DSL.
Check out the snippet for a simple AI web-scraping flow. 🤖
workflow engine:
- defining flows, steps, and dependencies
- starting flows, queuing stuff
- polling for tasks
- completing tasks
- dependency resolution
- 1000 lines of tests
workflow engine:
- defining flows, steps, and dependencies
- starting flows, queuing stuff
- polling for tasks
- completing tasks
- dependency resolution
- 1000 lines of tests
#LLM #buildinpublic #AI #supabase #postgres
#LLM #buildinpublic #AI #supabase #postgres
Generated columns are a powerful PostgreSQL feature that automatically update based on changes to underlying data, ensuring your calculated values always stay current.
Useful for storing frequently computed values.
#Postgres #PostgreSQL #Supabase
Generated columns are a powerful PostgreSQL feature that automatically update based on changes to underlying data, ensuring your calculated values always stay current.
Useful for storing frequently computed values.
#Postgres #PostgreSQL #Supabase
I'm starting March with a laser focus: 𝗦𝗵𝗶𝗽𝗽𝗶𝗻𝗴 𝗽𝗴𝗳𝗹𝗼𝘄 𝗮𝗹𝗽𝗵𝗮 𝗔𝗦𝗔𝗣! 🚢
I also plan to post some technical findings, snippets and ideas, mostly around queues and SQL, so if you are interested in this kind of stuff, watch this space! 🔭
#supabase #buildinpublic
I'm starting March with a laser focus: 𝗦𝗵𝗶𝗽𝗽𝗶𝗻𝗴 𝗽𝗴𝗳𝗹𝗼𝘄 𝗮𝗹𝗽𝗵𝗮 𝗔𝗦𝗔𝗣! 🚢
I also plan to post some technical findings, snippets and ideas, mostly around queues and SQL, so if you are interested in this kind of stuff, watch this space! 🔭
#supabase #buildinpublic
I'm testing production deployments and continuous operations on the @supabase.com FREE tier:
🔥 𝟯 𝗮𝗰𝘁𝗶𝘃𝗲 𝘄𝗼𝗿𝗸𝗲𝗿𝘀 (kept up by pg_cron)
⚙️ 𝟭𝟭,𝟬𝟬𝟬 unique Edge Function instances spun up
⚡ 𝟭𝟮𝟴 𝗷𝗼𝗯𝘀/𝘀𝗲𝗰 average throughput
It runs perfectly fin
I'm testing production deployments and continuous operations on the @supabase.com FREE tier:
🔥 𝟯 𝗮𝗰𝘁𝗶𝘃𝗲 𝘄𝗼𝗿𝗸𝗲𝗿𝘀 (kept up by pg_cron)
⚙️ 𝟭𝟭,𝟬𝟬𝟬 unique Edge Function instances spun up
⚡ 𝟭𝟮𝟴 𝗷𝗼𝗯𝘀/𝘀𝗲𝗰 average throughput
It runs perfectly fin
v0.0.3 had a pretty bad bug—production deployments didn't work because I mistakenly tested a development version in the cloud, instead of the JSR package.
It's fixed now (live on JSR). If you run into issues, please try again!
I appreciate everyone’s interest—your eng
v0.0.3 had a pretty bad bug—production deployments didn't work because I mistakenly tested a development version in the cloud, instead of the JSR package.
It's fixed now (live on JSR). If you run into issues, please try again!
I appreciate everyone’s interest—your eng
Flow DSL makes it super simple to define flows:
- Type for Flow params (e.g "string")
- Build flow step by step
- Steps have name, optional deps & handler func
- Dependencies determine handler payload
It couldn't be simpler - change my mind! 🚀
Flow DSL makes it super simple to define flows:
- Type for Flow params (e.g "string")
- Build flow step by step
- Steps have name, optional deps & handler func
- Dependencies determine handler payload
It couldn't be simpler - change my mind! 🚀
's building blocks.
That's why the flow shapes are kept in the database - this allows streaming their progress using Supabase Realtime! ⚡ How cool is that?
November prototype (can anyone spot a little bug?):
's building blocks.
That's why the flow shapes are kept in the database - this allows streaming their progress using Supabase Realtime! ⚡ How cool is that?
November prototype (can anyone spot a little bug?):
#postgres #sql #pgmq #supabase
#postgres #sql #pgmq #supabase