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How Fullscript's Project Glycerin triages and fixes security vulnerabilities in minutes, with engineers owning the standards the AI applies.
See how we built a benchmark from our own git history to compare AI coding models, skill packs, and agent harnesses on our real codebase.
See how Fullscript added 50/50 experiments to Flipper feature flags using a second salted hash and exposure tracking that waits for first use.
See how we treat the context window as a budget in Fullscript Assist: on-demand skills, isolated sub-agents, and auditable compaction.
See how Fullscript added durable logs, threaded Slack alerts, metrics, and self-cleaning governance around Shopify's maintenance_tasks gem.
How Fullscript IT built hospital-grade network redundancy for automated warehouses — see how we design for the failure case first.
How Fullscript rebuilt its clinical AI assistant with Elixir, BEAM processes, and MCP to support 120K+ providers with stateful conversations.
Part 2: See how Fullscript layered live progress, shared lifecycle hooks, and queue isolation onto a gem they don't own — no fork required.
How Fullscript rebuilt the maintenance_tasks UI as a React app over a JSON API — typed params, masked secrets, live status.
End-to-end tests are usually expensive to maintain or too flaky to trust. We treated an LLM as a compiler to get tests that are neither.
Why green tests aren't enough for AI systems. Learn how evals catch behavioral regressions that unit tests miss.
Learn how agentic developers automate large-scale code refactors, reducing migration costs, engineering overhead, and delivery risk.
Shipping a major mobile redesign without stopping releases: adapters, build flags, and parallel design systems.
What it’s like starting a software engineering career in the age of AI coding tools, code review, and agentic development.
Explore how we process wearable health data into personalized, explainable insights for clinical decision support.
What if user feedback could become a working prototype automatically? Inside our AI-powered Feedback Builder.
How to improve AI code reviews: turn merge requests into learning tools with context, patterns, and engineering decisions.
Outdated dependencies piling up? See how we automated updates across dozens of repos.
Use Nitro in Linear to automate repetitive Terraform updates and generate PRs instantly at scale.
Nitro empowers PMs to ship changes faster, reduce overhead, and collaborate without interrupting dev teams.
