231 karma · joined March 22, 2023
I'm not trying to express that my particular flavor of career is safe. I think that the ability to produce software is much less about the ability to hand-write code, and that's going to continue as the models and ecosystem improve, and I'm fascinated by where that goes.
Is the image really not that clear? There are IDE-like tools that all are focusing on different parts of the Spec --> Agent --> Code continuum. I think it illustrates that all right.
Even in those environments, I'd argue that AI coding can offer a lot in terms of verification & automated testing. However, I'd probably agree, in high-stakes safety environments, it's more of a 'yes and' than an either/or.
My approach is similar. I invest in the harness layer (tests, hooks, linting, pre-commit checks). The code review happens, it's just happening through tooling rather than my eyeballs.
I've found that focusing my attention upstream (specs, constraints, test harness) yields better outcomes than poring over implementation details line by line. The code is still there if I need it. I just rarely need it.
To be fair - it is not accurate to say I absolutely never read the code. It's just rare, and it's much more the exception than the rule.
My workflow just focuses much more on the final product, and the initial input layer, not the code - it's becoming less consequential.
The markets priced in him backing down repeatedly, which he has.
Remote: Prefer hybrid, remote for the right oppportunity
Willing to relocate: No
Technologies: SQL, A/B Testing, TypeScript, JS, Python, SQL, R, Next.js, React, A/B Testing, CI/CD, LLM Integration (OpenAI, Anthropic Claude), Vercel AI SDK, Prompt Engineering, AI-Assisted Development (Claude Code, Cursor), ML Enablement, Platform & Infrastructure (event pipelines, data lakes, warehousing), Governance & Metadata Catalog, Privacy Management (GDPR, CCPA), dbt, Tableau, Amplitude, Snowflake, Airflow, BigQuery, Athena, S3, Iceberg, Redshift, Dagster, Fivetran, Sigma, Mixpanel, Optimizely, Kafka, APIs
Résumé/CV: https://docs.google.com/document/d/1bK6v3M2YyNEHaOfREeso998m...
Email: ben.shoemaker.xyz@gmail.com
I've been in product management / leadership for the last 10 years - I've spent the last 6 months exploring the AI coding space & AI in general. I'm currently the fractional CTO for a startup in the real estate space; I've got a number of my own projects I'm working on; and I'm very interested in and involved in the developer tools space - here's an example (https://vibescaffold.dev/) from a couple of months ago that was featured in the AI Tinkerers Community Spotlight.
I'm struggling with landing in a good way to use them together. If you have a way you like, I'd love to hear it.
The UI looks nice, otherwise. I had thought about building something like this - maybe this just increases my confidence that this is needed, just not affiliated with a company.
Some thoughts: 1) I think you could simplify the onboarding - I don't think I actually need to make an account up front. It somewhat contradicts the way the landing page presents things. 2) The AI prompt does a good job - I really like the output it provides. 3) It doesn't seem like there's a super straightforward way to separate local & production logs - would be nice.
I implemented it - I'll see how it cooks the next couple of days & check back.
Side note, if you want to try that project, since you're a vibe coder, I'd appreciate the feedback too - vibescaffold.dev.
> If you're looking for feedback, you could include a tiny section on the homepage about how to run the output docs. e.g. put them in a folder, point Claude Code/Codex to it and give it the prompt.
This is great feedback - I totally agree - going to add this asap
I also fixed the wizard text, I agree.
I also fixed the step jumping.
Would love to hear your feedback if you try it again with the fixes in place :)