In growing the content material for our Might 8 digital convention Coding with AI: The Finish of Software program Improvement 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 sort of experimentation that builders are going via as they arrive to grips with the transformation that AI is bringing to how they work, what they will 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 an ideal mannequin for the sort of data sharing we hope to engender with the upcoming occasion and others that can observe. In case you haven’t learn it but, go achieve this now.
In an e-mail to me, my outdated pal Nat Torkington had this to say about Harper’s submit:
Study quicker. 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 in search of on the occasion. Coding with AI will function fireplace chats with of us like Jay Parikh, Addy Osmani and Gergely Orosz, Chip Huyen, and Shawn @swyx Wang, and talks by Harper, Simon Willison, Chelsea Troy, Steve Yegge, Andrew Stellman, and others. However we’re nonetheless in search of extra reviews from the trenches, offered 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 excited about embody “my favourite AI device,” “my favourite AI immediate or context hack,” “my workflow,” “my mission that I’d by no means have thought to attempt with out the convenience 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 solely dedicated to a reside model of the sort of full show-and-tell that Harper did so nicely.
So, go learn Harper, and present us what you’ve received! Ideally, you’ll not solely give us the total model but in addition 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 in your cortex, the much less transferable it’s to different individuals. The danger 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 resolve issues you don’t have” and lose individuals in a flood of random device names.
(We need to be) ready to take a look at totally 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 e-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 tackle totally different developer expertise ranges. For instance:
Junior devs: give attention to constructing that essential analysis mindset and understanding when/learn how 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 will 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 Might 8 to offer you a bit extra time to do your reasoning after which reply to this revised immediate.
On Might 8, O’Reilly Media shall be internet hosting Coding with AI: The Finish of Software program Improvement as We Know It—a reside digital tech convention spotlighting how AI is already supercharging builders, boosting productiveness, and offering actual worth to their organizations. In case you’re within the trenches constructing tomorrow’s improvement practices at present and excited about talking on the occasion, we’d love to listen to from you by March 12. Yow will discover extra data and our name for shows right here. Simply need to attend? Register at no cost right here.
