Craft & Code: Able Perspectives
Practical insights and thoughtful analysis on how AI is transforming software development, business strategy, and the way we work.
How to roll out AI across your team without losing momentum
Mid-market Orgs · EngineersMost 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 TeamBeyond the Hype: A CEO's Guide to Building a Winning AI Strategy
Generative AI · Mid-market OrgsAs 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 McKinneyHow midmarket companies can reinvest AI efficiencies for competitive advantage
Generative AI · Mid-market OrgsWhen 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 McKinneyHow to Use Agentic AI Systems to Scale Like a Fortune 500
Generative AI · Mid-market OrgsGrowing 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. SantosAI Agents Explained: A CTO's Guide to Making Smart Decisions (and Explaining Them to Your Board)
Generative AI · CTO · Mid-market OrgsAs 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. SantosBuilding AI-Powered Engineering Teams
Mid-market Orgs · EngineersAI 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 DhanasekarThe Evolving Role of Engineers in the Age of AI
Generative AI · Mid-market Orgs · SDLCLeading the engineering discipline at Able, I've had the privilege of working with a team that is both exceptional and naturally curious. Experimentation is in our DNA—we’ve always been early adopters, thoughtfully evaluating new tools and technologies before integrating them into our stack.
Pradeepa DhanasekarActions Leaders Can Take Now for Responsible AI
CTO · Mid-market Orgs · Responsible AIRecent findings reveal a stark reality: 36% of AI researchers warn of catastrophic risks from uncontrolled AI development. As someone who has led technology teams through multiple waves of disruption, I've observed that companies typically approach AI adoption in one of two ways: either reactively scrambling to catch up or strategically integrating AI as a competitive advantage. The difference between these approaches isn't just technical capability—it's a fundamental understanding that responsible AI implementation is the only sustainable path forward. With AI, the winners won't simply be first-to-market—they'll be first-to-trust. For CTOs and technology leaders, implementing responsible AI isn't just about avoiding risks—it's a strategic advantage that creates lasting value while protecting your organization's future. While many view this as compliance overhead, robust governance now builds the foundation for competitive differentiation as enterprise customers increasingly audit AI vendors' ethical practices.
Pradeepa DhanasekarDemystifying AI in the SDLC: Practical Steps for Mid-Market CTOs
CTO · Mid-market Orgs · SDLCIn today's fast-paced digital landscape, mid-market companies are under immense pressure to innovate and deliver software faster than ever before. The promise of AI to revolutionize the Software Development Lifecycle (SDLC) is undeniable—unlocking unprecedented speed, efficiency, and quality. However, many mid-market CTOs feel overwhelmed by the complexities of AI adoption. Where do they even begin? According to a recent report, the global AI market in software development is projected to grow from $184 billion in 2024 to $266 billion by 2025[1], highlighting the urgency for companies to adapt.
Jose Rodriguez