featured in #612
Meet Your New API Testing Agent That Never Sleeps
tl;dr: Stop discovering API contract breaks post merge. Signadot's AI-powered testing automatically detects API integration issues between microservices before merging code. No brittle mocks needed — test with real dependencies in lightweight Kubernetes sandboxes. Signadot’s AI testing agent identifies only meaningful API changes, eliminating false alarms. Join forward-thinking teams and try it for free today.featured in #611
featured in #608
featured in #608
Vertical Integration For Superior QA
- Jon Perl tl;dr: Traditional outsourced QA relies on inefficient, costly tech stacks that fall short of QA engineers' needs. QA Wolf took a smarter approach. They built proprietary technology that aligns with customers’ needs, enabling their QA engineers to deliver 80%+ automated test coverage for their clients in just 4 months. In this free webinar, CEO Jon Perl reveals how QA Wolf is redefining QA automation.featured in #605
Why Staging Is A Bottleneck For Microservice Testing
- Arjun Iyer tl;dr: Staging environments create painful bottlenecks in microservices testing - one bug blocks everyone with untraceable failures. Instead of costly duplicate environments, "sandboxes" use smart traffic routing on shared infrastructure, letting teams test simultaneously without interference. Teams catch issues earlier, ship faster, and eliminate waiting - while drastically cutting infrastructure costs and improving developer experience.featured in #605
You Make Your Evals, Then Your Evals Make You.
- Tongfei Chen Yury Zemlyanskiy tl;dr: The post introduces AugmentQA, a benchmark for evaluating code retrieval systems using real-world software development scenarios rather than synthetic problems. AugmentQA uses codebases, developer questions, and keyword-based evaluation outperforming open-source models that excel on synthetic benchmarks but struggle with realistic tasks.featured in #603
Making Uber’s ExperimentEvaluation Engine 100x Faster
tl;dr: This blog post describes how we made efficiency improvements to Uber’s Experimentation platform to reduce the latencies of experiment evaluations by a factor of 100x, milliseconds to microseconds. We accomplished this by going from a remote evaluation architecture to a local evaluation architecture.featured in #603
The QA Wolf Advantage: Vertical Integration For Superior QA
- Jon Perl tl;dr: Traditional outsourced QA relies on inefficient, costly tech stacks that fall short of QA engineers' needs. QA Wolf took a smarter approach. They built proprietary technology that aligns with customers’ needs, enabling their QA engineers to deliver 80%+ automated test coverage for their clients in just 4 months. In this free webinar, CEO Jon Perl reveals how QA Wolf is redefining QA automation.featured in #602
Accelerating Large-Scale Test Migration With LLMs
- Charles Covey-Brandt tl;dr: “In this blog post, we’ll highlight the unique challenges we faced migrating from Enzyme to RTL, how LLMs excel at solving this particular type of challenge, and how we structured our migration tooling to run an LLM-driven migration at scale.”featured in #601