AI tools are evolving faster than most teams can track. To guide customers with clarity—not hype—we carve out dedicated time for safe, hands-on experimentation. Shared learning builds fluency, confidence, and readiness for when clients are ready to move.
This guide shares five practical best practices for developers using code assistants like Claude Code or Cursor—covering automation, better pull requests, faster cycles, and how to avoid common pitfalls to unlock real value.
Avoiding tension may feel safer in the moment, but it robs us of the progress that comes from challenge.
The internet is full of articles that either glorify AI coding skills/agents or simply bash them as useless or malicious. We want to offer a simple engineering perspective on what it looks like, at the current stage, to use them on real-world problems.
Our engineers tested ChatGPT, Copilot, Cursor, AWS Q, and Junie to see which AI code assistant actually speeds up development
In high-stakes sectors, a failed launch isn’t just a budget hit, it’s a momentum killer. Competitors move ahead while your teams stall. Trust breaks down. Blame takes over.
Bison Commerce is a technology, innovation, and marketing company for furniture manufacturers in North America. The company works with over 350 suppliers, merchandises over a million unique SKUs.
For us, it’s not about mission statements or corporate buzzwords—it’s how we operate, how we solve problems, and how we create real impact for our clients every day.
The pressure to leverage AI effectively is real. Whether it's from your board, your boss, or your teams, everyone wants to know: How will you leverage AI to meet your goals?
Empower engineering teams with business-driven metrics.