In creating the content material for our Could 8 digital convention Coding with AI: The Finish of Software program Growth as We Know It, we couldn’t assist however need to function Harper Reed, whose latest submit “My LLM Codegen Workflow ATM” so completely encapsulates the type of experimentation that builders are going by way of as they arrive to grips with the transformation that AI is bringing to how they work, what they’ll accomplish, and which instruments they need to be adopting. Harper lays out his present workflows and instruments with detailed examples for each greenfield code and legacy code that make it straightforward for others to study from what he’s accomplished. It’s a terrific mannequin for the type of info sharing we hope to engender with the upcoming occasion and others that may observe. If you happen to haven’t learn it but, go accomplish that now.
In an electronic mail to me, my previous buddy Nat Torkington had this to say about Harper’s submit:
Study sooner. Dig deeper. See farther.
I really feel like there are ascending ranges of nerd on this:
– immediate hacks
– instruments to combine into your workflow
– context hacks (e.g., construct a necessities doc with the LLM, then get it to code to these necessities)
– use of particular fashions/options (e.g., reasoning vs. non-reasoning LLMs)
– {custom} workflows/instruments assembled from items, however which actually are custom-built to that particular person’s workflow
ALL of those are issues that we need to cowl in our upcoming occasion. So I’d like to make use of Harper’s piece as a immediate and context hack to all of you, to make clear what we’re searching for on the occasion. Coding with AI will function fireplace chats with people like Jay Parikh, Addy Osmani and Gergely Orosz, Chip Huyen, and Shawn @swyx Wang, and talks by Harper, Simon Willison, Camille Fournier, Chelsea Troy, Steve Yegge, Birgitta Boeckeler, Andrew Stellman, and others. However we’re nonetheless searching for extra stories from the trenches, introduced as five-minute lightning talks (a format Nat Torkington initially developed for our Perl Convention almost 30 years in the past, and that was a beloved function of all our conferences thereafter).
Classes we’re involved in embrace “my favourite AI instrument,” “my favourite AI immediate or context hack,” “my workflow,” “my mission that I might by no means have thought to attempt with out the benefit of experiment I get with AI,” and so forth. Along with the lightning talks at this occasion, we’re additionally planning a future recurring occasion that’s fully dedicated to a stay model of the type of full show-and-tell that Harper did so nicely.
So, go learn Harper, and present us what you’ve bought! Ideally, you’ll not solely give us the complete model but additionally distill explicit, usable classes from it. Right here’s some extra knowledge from Nat’s electronic mail to get you began:
The extra the mechasuit is designed in your cortex, the much less transferable it’s to different individuals. The chance is you begin with “listed here are six instruments I take advantage of in my very own complicated workflow in a language you don’t recognise to unravel issues you don’t have” and lose individuals in a flood of random instrument names.
[We want to be] ready to have a look at completely different individuals’s “I code with AI!” workflows and break them down [as Harper does] so [our viewers] can go “nicely, that’s cool however I’m not utilizing vi and command-line instruments don’t play nicely with Visible Studio, so I’ll simply steal your context hacks for working with large code bases in Copilot.”
Addy Osmani added to our electronic mail dialog:
Constructing on the “ascending ranges of nerd” framework (which I like!), we may construction a few of the “how I work” content material to particularly handle completely different developer expertise ranges. For instance:
- Junior devs: deal with constructing that essential analysis mindset and understanding when/the way to successfully use AI instruments
- Mid-level: exploring workflow integration and context optimization
- Senior: deep dives into {custom} tooling and superior immediate engineering
Submit your proposals (together with, ideally, a submit modeled on Harper’s that we are able to publish right here on the O’Reilly Radar weblog) on the present name for shows hyperlink. We’ve up to date the submission deadline to March 12 and the occasion date from April 24 to Could 8 to provide you a bit extra time to do your reasoning after which reply to this revised immediate.
On Could 8, O’Reilly Media will probably be internet hosting Coding with AI: The Finish of Software program Growth as We Know It—a stay digital tech convention spotlighting how AI is already supercharging builders, boosting productiveness, and offering actual worth to their organizations. If you happen to’re within the trenches constructing tomorrow’s improvement practices as we speak and involved in talking on the occasion, we’d love to listen to from you by March 12. Yow will discover extra info and our name for shows right here.
