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Lawrence Jones
Product Engineer

Lawrence Jones's posts

Optimizing LLM prompts for low latency

Optimizing LLM prompts for low latency

When the time taken to execute a prompt becomes an issue, these strategies can optimize response latency without impacting prompt behaviour.

Lawrence JonesLawrence Jones
March 25, 2025
How we page ourselves if incident.io goes down

How we page ourselves if incident.io goes down

Learn how we tackle the ultimate paradox: ensuring our alerting system pages us, even when it’s the one failing. It's a common question - let's dive into detail on our "dead man's switch", how we stress-test our systems, and why we care so much about our setup allowing us to dogfood our own product.

Lawrence JonesLawrence Jones
November 27, 2024
Tracking developer build times to decide if the M3 MacBook is worth upgrading

Tracking developer build times to decide if the M3 MacBook is worth upgrading

When our CTO said "I'll upgrade your MacBook if you can prove it's worthwhile", we embarked on a journey including (re)building a Go hot-reloader, instrumenting developer builds, analyzing compiler performance, and feeding an AI model the data until we had an answer.

Lawrence JonesLawrence Jones
December 19, 2023
Engineering nits: Building a Storybook for Slack Block Kit

Engineering nits: Building a Storybook for Slack Block Kit

We care a lot about the pace of shipping at incident.io, and we also build lots of UIs inside Slack. Slack previews lets us collaborate on designing these experiences much more quickly.

Lawrence JonesLawrence Jones
November 28, 2023
Better security for your app's secrets

Better security for your app's secrets

What comes after your default, out-of-box application secret solution? How do you add security to Heroku's environment variables, or go beyond putting secrets directly into Kubernetes? We've used GCP Secret Manager to improve our app secret handling, and this post shows how you can do the same.

Lawrence JonesLawrence Jones
July 10, 2023
Keep the monolith, but split the workloads

Keep the monolith, but split the workloads

Everybody loves a monolith, but you can hit issues as you scale. Learn how splitting workloads can improve your monolithic architecture's performance and scalability, and understand the trade-offs between monolithic systems and microservices.

Lawrence JonesLawrence Jones
April 12, 2023

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