Writing code was never the bottleneck!

Overview
Writing code was never the bottleneck! This article explores how the current AI hype may distract engineering leaders from addressing deeper productivity challenges in the software development lifecycle, emphasizing the importance of focusing on people, processes, and delivery flow rather than just tooling.

Key Takeaways

• AI tools can improve certain tasks, but they rarely eliminate core bottlenecks in software delivery.
• Effective leadership requires a holistic view of the development process, including requirements gathering, architecture, and team dynamics.
• Investing in clear communication, continuous improvement, and reducing handoff delays often yields higher impact than chasing the latest AI features.

Who Would Benefit

• Engineering managers looking to prioritize initiatives that truly improve delivery speed.
• Technical leads who want to balance AI adoption with sustainable process improvements.
• Product owners and CTOs interested in aligning technology investments with real productivity gains.

Frameworks and Methodologies

• Lean Software Development
• Value Stream Mapping
• Continuous Delivery