3 posts tagged with "GitHub Copilot"

Writing Code Was Never the Job — Delivering Outcomes Was​

For decades, the role of the Software Engineer has evolved alongside tooling, platforms, and abstractions. From low-level systems programming to high-level frameworks, from waterfall to agile, from on-prem to cloud, each shift changed how software is built, but not who ultimately builds it.

The rise of AI-assisted development and more recently, agentic software engineering represents a fundamentally different kind of shift. Software engineers are no longer the sole producers of code. They are increasingly becoming designers of systems that produce code, operators of autonomous collaborators, and stewards of quality, security, and intent.

The Age of AI Agents Has Arrived, Is Your Engineering Culture Ready?​

Agentic software engineering is no longer a future concept. AI coding agents, autonomous pull request generation, self-healing pipelines, and AI-assisted operations are already reshaping how teams design, build, test, and ship software every single day.

And here's the uncomfortable truth most teams aren't ready to hear:

Agents don't magically fix broken engineering practices. They scale them.

Introduction​

Adopting GitHub Copilot at scale can be a game-changer for many development teams (especially large or distributed teams). This blog post provides best practices, actionable tips, and tricks to ensure a successful adoption of GitHub Copilot to ensure successful adoption at scale, foster engagement, and maximize the return on investment (ROI).