Build an AI-native engineering team that ships fast
Practical how-tos, model benchmarks, and research on AI-driven development for fast-moving teams.
What Happened When DoltHub Ran Ito on 43 Pull Requests
DoltHub reported a 2:1 fixed-to-dismissed ratio for Ito bug findings, and surfaced pre-existing issues in 26 of 43 tested PRs over six weeks.
MTTR is the Wrong Metric for AI-Era Engineering Teams
AI tools produce 41% more bugs and 98% more pull requests. MTTR can't keep up. Here's how MTTF shifts your team from incident response to prevention.
Your fastest model is probably not your fastest model
Tokens per second measures how fast a model emits, not how fast it finishes. Our 13-model probe shows the gap that flips both the speed + cost leaderboards.
Moo: Giving Your Agents the Runtime Isolation git worktrees Need
git worktree isolates your files. Moo isolates the database, ports, and services, saved per commit. Together, they give your agents fully isolated machines. Learn how to use Moo, the benefits, and why your agents need it.
What we learned after moving 100B tokens/week to open-weight models
Ito moved production QA agents from GPT-5.3-codex to open-weights. Here's what we saved, why inference providers matter as much as models, and what to check.
Elevate Software Testing: 10 Best Practices for 2026
Boost your Test. Learn 10 software testing best practices for 2026, covering pre-merge, scriptless, and agentic methods for managers.
Static Analysis Misses Bugs That Reach Production
Agents can stare at code all day long, but they will not find all the issues because they are probabilistic unit tests. You need to actually run your application to get runtime evidence and proof that things behave as your organization expects them to for full integration and end-to-end tests.
Your AI-scaled engineering org needs big-org processes
When developers are 3–5x more productive with AI, your org is effectively that much bigger. Your operations need to follow suit.
What is agentic QA? The complete guide
How autonomous AI agents are replacing brittle E2E scripts with behavioral testing that actually validates the user experience.
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