In creating the content material for our Could 8 digital convention Coding with AI: The Finish of Software program Improvement as We Know It, we couldn’t assist however wish to characteristic Harper Reed, whose latest submit “My LLM Codegen Workflow ATM” so completely encapsulates the sort of experimentation that builders are going by 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 achieved. It’s a terrific mannequin for the sort of info sharing we hope to engender with the upcoming occasion and others that may observe. When you haven’t learn it but, go achieve this now.
In an electronic mail to me, my outdated pal Nat Torkington had this to say about Harper’s submit:
Be taught 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 particular person’s workflow
ALL of those are issues that we wish 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 characteristic hearth chats with of us 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 reviews 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 characteristic of all our conferences thereafter).
Classes we’re eager about embody “my favourite AI device,” “my favourite AI immediate or context hack,” “my workflow,” “my challenge that I might by no means have thought to strive 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 completely dedicated to a dwell model of the sort of full show-and-tell that Harper did so effectively.
So, go learn Harper, and present us what you’ve received! Ideally, you’ll not solely give us the complete model but in addition distill explicit, usable classes from it. Right here’s some further knowledge from Nat’s electronic 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 advanced workflow in a language you don’t recognise to unravel issues you don’t have” and lose folks in a flood of random device names.
[We want to be] ready to take a look at completely different folks’s “I code with AI!” workflows and break them down [as Harper does] so [our viewers] can go “effectively, that’s cool however I’m not utilizing vi and command-line instruments don’t play effectively with Visible Studio, so I’ll simply steal your context hacks for working with massive 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: concentrate on constructing that important analysis mindset and understanding when/methods 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 displays hyperlink. We’ve up to date the submission deadline to March 12 and the occasion date from April 24 to Could 8 to offer 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 Improvement 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. When you’re within the trenches constructing tomorrow’s growth practices at the moment and eager about 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.
