Changelog Interviews – Episode #629

Programming with LLMs

featuring David Crawshaw

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For the past year, David Crawshaw has intentionally sought ways to use LLMs while programming, in order to learn about them. He now regularly use LLMs while working and considers their benefits a net-positive on his productivity. David wrote down his experience, which we found both practical and insightful. Hopefully you will too!

Featuring

Sponsors

RetoolThe low-code platform for developers to build internal tools — Some of the best teams out there trust Retool…Brex, Coinbase, Plaid, Doordash, LegalGenius, Amazon, Allbirds, Peloton, and so many more – the developers at these teams trust Retool as the platform to build their internal tools. Try it free at retool.com/changelog

Augment Code – Developer AI that uses deep understanding of your large codebase and how you build software to deliver personalized code suggestions and insights. Augment provides relevant, contextualized code right in your IDE or Slack. It transforms scattered knowledge into code or answers, eliminating time spent searching docs or interrupting teammates.

Temporal – Build invincible applications. Manage failures, network outages, flaky endpoints, long-running processes and more, ensuring your workflows never fail. Register for Replay in London, March 3-5 to break free from the status quo.

Notes & Links

📝 Edit Notes

Chapters

1 00:00 This week on The Changelog 01:01
2 01:01 Sponsor: Retool 02:45
3 03:47 Start the show! 01:19
4 05:06 No Tailscale AI 03:05
5 08:11 !Exciting proposals 00:29
6 08:40 Not a sponsor! 01:35
7 10:15 Tailscale's free plan 00:53
8 11:08 Boring software 02:07
9 13:15 Adam's Tailscale AI 02:59
10 16:13 How many models should there be? 03:05
11 19:18 More on Adam's Tailscale AI 06:07
12 25:26 Sponsor: Augment Code 03:30
13 28:55 David's LLM journey 07:56
14 36:51 Reasoning models 01:18
15 38:09 Code completion 01:04
16 39:13 The right model for the job 00:53
17 40:05 The running shoe analogy 02:43
18 42:48 Putting the shoes on 00:48
19 43:36 Early days 02:58
20 46:35 Building non-chat things 02:36
21 49:11 Sketch.dev granularity 06:27
22 55:38 How Sketch works with LLMs 04:50
23 1:00:28 Let it ask 03:11
24 1:03:40 Sponsor: Temporal 02:04
25 1:05:43 Well-suited programming languages 03:47
26 1:09:31 Swapping out Go 02:05
27 1:11:35 LLM Engine Optimization 05:08
28 1:16:44 LLM ads coming soon 03:23
29 1:20:07 Getting started advice 02:47
30 1:22:55 Any good guides? 01:27
31 1:24:22 Massaging your AI 00:38
32 1:25:00 Being nice to your AI? 04:17
33 1:29:17 Closing thoughts and stuff 02:04

Transcript

⏰ Coming Soon

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