Building Speedy: An Autonomous AI Development Agent
How we built an AI agent that implements Jira tickets, creates merge requests, and monitors them autonomously—and the iterative journey to get there.
Browse 9 posts in this category
How we built an AI agent that implements Jira tickets, creates merge requests, and monitors them autonomously—and the iterative journey to get there.
From memes to market meltdowns: Explore how a multi-billion dollar Super Bowl prop bet involving Kim Jong Un pushed prediction markets and SRE teams to the brink.
See how to get visibility into your Kubernetes workloads and run realistic load tests without writing YAML files or kubectl commands.
Explore 5 bold AI predictions for 2026. From the burst of the AI bubble to the rise of 'vibe coding' and agentic workflows, discover why the future of tech belongs to those who prioritize reliability over hype.
Tired of Staging environments that don't match Prod? Learn how Speedscale's Digital Twin, built from real production traffic, solves dependency nightmares, data dilemmas, and configuration drift to ensure your software and AI systems are tested against reality, not assumptions.
Shopify's infrastructure crumbled in 2025 like a city under a 'Commerce Kaiju' attack. Relive the dramatic outage, the checkout carnage, and the crucial lesson learned about shifting left and rigorous testing.
Learn how digital twins and traffic replay, highlighted at kubecon, offer platform engineering teams a 'superpower' to test against real-world scenarios, mock dependencies, and ship updates confidently without writing application code.
Simplify PostgreSQL testing instantly. Replace slow, fragile database setups with Speedscale Proxymock. Record real database traffic once and replay it deterministically, eliminating the need to start, migrate, and seed a local PostgreSQL instance for every test. Speed up CI/CD, eliminate data drift, and save engineering hours.
The AWS DNS outage exposed the risk of cascading failures. Learn how to prevent a single DNS failure from taking down your system by mapping service dependencies and prioritizing failover testing for cloud resilience.