Craft & Code: Able Perspectives

Most teams aren’t struggling to adopt AI because of a lack of tools. Some employees experiment constantly, others aren't sure what's allowed, and leaders can’t see whether any of it is translating into real outcomes.

Able Team·Dec 9, 2025

You've probably seen the numbers by now. With the advent of advanced AI, engineering teams are experiencing unprecedented acceleration. Developers, empowered by tools like Copilot, complete coding tasks 55% faster. The 2025 DORA Report shows 90% global AI adoption among developers, with over 80% reporting enhanced productivity.

Simon Bengen·Oct 20, 2025

As a leader, you’re constantly told that you need an "AI strategy." But what does that actually mean? It’s more than a shopping list of technologies or a vague mandate to "innovate." A robust AI strategy is a clear-eyed assessment of where you are, where you want to go, and how this powerful new toolkit can get you there faster and more effectively than your competition.

Andy McKinney·Sep 15, 2025

When midmarket companies talk about AI implementation, the conversation often begins with efficiency. How much can we automate manual processes? What's the ROI on automation? These are important questions, but there's a more strategic question that deserves equal attention: once you do achieve that efficiency, what happens next?

Andy McKinney·Aug 19, 2025

Growing mid-market companies often hit a wall trying to scale operations. Fortune 500 enterprises don’t thrive just because they’re big – they are big because they’ve built sophisticated internal coordination and systems to control everything seamlessly. The good news is you can reverse-engineer these enterprise playbooks using agentic AI systems to get Fortune 500-level coordination without the Fortune 500 headcount or overhead.

Arnon Bruno V. Santos·Aug 5, 2025

As a CTO, the AI boom brings new terminology that's both exciting and overwhelming. When it's your job to explain these complex ideas to your leadership team or board, who aren't in the tech trenches daily, the challenge grows.

Arnon Bruno V. Santos·Jun 18, 2025

AI change management has turned the engineering world on its head. Unlike previous technology transitions, AI adoption fundamentally impacts how teams work, think, and contribute value. That means it requires a different approach—one that recognizes the sophisticated nature of engineering talent and the importance of bringing people along the journey thoughtfully.

Pradeepa Dhanasekar·May 12, 2025

AI is reshaping team dynamics and collaboration patterns. Code reviews and pair programming are becoming more critical as teams need to collectively evaluate AI-generated changes. Non-coding applications provide immediate value with minimal risk—from building dashboards to generating better PRs and documentation.

Pradeepa Dhanasekar·Apr 15, 2025

In an era where AI systems increasingly shape our interactions with the world, the need for trustworthy AI has never been more critical. In this article, we will delve into the complexities of designing AI systems that are not only functional but also ethically sound, transparent, and secure. We explore six core elements of trustworthy AI—truthfulness, safety, fairness, robustness, privacy, and machine ethics—providing a pragmatic framework of assessment to counter some of the top known ethical issues with generative AI specifically.

Michelle Yi·Apr 8, 2025