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 put up “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 simple for others to study from what he’s performed. It’s an important mannequin for the type of info sharing we hope to engender with the upcoming occasion and others that can comply with. Should you haven’t learn it but, go accomplish that now.
In an e-mail to me, my outdated good friend Nat Torkington had this to say about Harper’s put up:
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 individual’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 on the lookout 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 on the lookout for extra stories from the trenches, introduced as five-minute lightning talks (a format Nat Torkington initially developed for our Perl Convention practically 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 challenge 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 dwell model of the type of full show-and-tell that Harper did so properly.
So, go learn Harper, and present us what you’ve acquired! Ideally, you’ll not solely give us the complete model but additionally distill specific, usable classes from it. Right here’s some further knowledge from Nat’s e-mail to get you began:
The extra the mechasuit is designed to your cortex, the much less transferable it’s to different folks. The danger is you begin with “listed here are six instruments I exploit in my very own complicated workflow in a language you don’t recognise to unravel issues you don’t have” and lose folks in a flood of random instrument names.
[We want to be] in a position to have a look at completely different folks’s “I code with AI!” workflows and break them down [as Harper does] so [our viewers] can go “properly, that’s cool however I’m not utilizing vi and command-line instruments don’t play properly with Visible Studio, so I’ll simply steal your context hacks for working with huge code bases in Copilot.”
Addy Osmani added to our e-mail dialog:
Constructing on the “ascending ranges of nerd” framework (which I really like!), we might construction a few of the “how I work” content material to particularly handle completely different developer expertise ranges. For instance:
- Junior devs: concentrate on constructing that crucial analysis mindset and understanding when/the best 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 put up modeled on Harper’s that we will publish right here on the O’Reilly Radar weblog) on the present name for displays 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 can be internet hosting Coding with AI: The Finish of Software program Growth as We Know It—a dwell digital tech convention spotlighting how AI is already supercharging builders, boosting productiveness, and offering actual worth to their organizations. Should you’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. You’ll find extra info and our name for displays right here.
