Train on Gold, Not Garbage - Making Powerful AI Models from Golden Data
In 2025, training AI and Large Language Models is no longer just about scale - it’s about the quality of the signal. Artificial intelligence (AI) is a field...
Posts about developer productivity
Browse 9 posts in this category
Catch Prompt Misfires Before They Burn Trust in LLM
Large Language Models (LLMs) are incredibly powerful, but they are also incredibly fragile. Using LLMs in a production environment requires a lot of things to...
I Hate Testing!
Hi everyone, I'm Alan, Head of Customer Success here at Speedscale. If you'd told me a few years ago that I'd be working for a company knee-deep in the testing...
Eliminating Flaky Tests with Traffic Replay
There are few things that can derail developer productivity and undermine your pipeline like a flaky test. Testing is the backbone of a good development...
Easy Cross-Platform cgo Builds
When I first started writing Go software a little over a decade ago, one of the features I found particularly intriguing was the ability to build...
Using Proxymock with GCP Services
Google Cloud Platform, or GCP, is a cloud resources collection offered by Google for enterprise and standard users. GCP offers a wide range of cloud services...
Using Proxymock with AWS Services
Amazon Web Services, or AWS, offers a variety of cloud services ranging from AWS resources such as CDNs and data lakes to cloud computing and transformation...
Six Lessons from Production gRPC
In the half-decade since gRPC became part of our production ecosystem, we’ve encountered a range of challenges and discovered a few hidden pitfalls that can...
Speedscale vs Coder: Ephemeral Developer Environments for Different Needs
Compare Speedscale and Coder for developer productivity in 2025. Speedscale offers production traffic replay and API mocking for realistic testing, while Coder provides cloud-based development environments. Learn which tool fits your team's needs for microservices, Kubernetes, and remote development workflows.