Okay back to the rock.
Okay back to the rock.
a small majority of the human population is using AI to write software, in the future the "average" person will be doing this too. This is a small window of opportunity to get really far ahead of the average technical person. This is the start of a bell shape wave.
a small majority of the human population is using AI to write software, in the future the "average" person will be doing this too. This is a small window of opportunity to get really far ahead of the average technical person. This is the start of a bell shape wave.
if it's not writing you thousands of lines of code, you're waiting until it's too late to dig into the weeds. steer clear of "monoliths" and start heading towards micro services. It stopped working because you're not using enough micro services. Also, ai can get off course
if it's not writing you thousands of lines of code, you're waiting until it's too late to dig into the weeds. steer clear of "monoliths" and start heading towards micro services. It stopped working because you're not using enough micro services. Also, ai can get off course
In a reality where mistakes are explained as "to be avoided"
In a reality where mistakes are explained as "to be avoided"
maybe ill be more ready for it in the future
maybe ill be more ready for it in the future
1. github Oauth
2. reverse engineering upsert, append, rewrite to improve ux on writing to db
- added notifications to explain how writing works
3. adding data analytics library i built earlier this year
4. using google edge ai to offer multi ux for engineers
1. github Oauth
2. reverse engineering upsert, append, rewrite to improve ux on writing to db
- added notifications to explain how writing works
3. adding data analytics library i built earlier this year
4. using google edge ai to offer multi ux for engineers