All of my long-form thoughts on programming, AI trends, development tools, and more, collected in chronological order.
The AI experimentation phase is over. Organizations are now demanding measurable outcomes, proven cost reductions, and tangible business value from their AI investments. Here's your comprehensive guide to measuring AI ROI, building business cases, and proving the value of AI initiatives in software development and beyond.
The AI code generation landscape is heating up with fierce competition. Tabnine, Codeium, CodeWhisperer, and emerging players are challenging GitHub Copilot's dominance with innovative features, better performance, and specialized capabilities. Here's your guide to navigating the new battlefield of AI-powered coding assistants.
The era of one-size-fits-all AI is ending. Specialized AI models—narrow, highly-customized systems designed for specific business applications—are delivering superior performance, lower costs, and better security than general-purpose alternatives. Discover how to build and deploy specialized AI that outperforms generic solutions.
As AI systems become more powerful and pervasive in software development, the need for transparent, explainable, and testable AI has never been more critical. From debugging AI-generated code to understanding decision-making processes, XAI is transforming how we build trustworthy AI systems that developers and users can understand and verify.
The future of AI isn't in the cloud—it's running directly on your users' devices. Edge AI development is revolutionizing privacy, performance, and offline capabilities. From real-time inference to privacy-first architectures, discover how to build AI applications that run anywhere, anytime, without compromising user data or experience.
The era of chatbot UIs for AI development tools is ending. Forward-thinking teams are pioneering creative integrations that seamlessly weave AI into their workflows—from contextual code suggestions to autonomous background processing. Discover how to move beyond chat and build truly integrated AI experiences.
AI-generated code is creating an unprecedented quality crisis in software development. With a 400% increase in code clones and copy-paste patterns, we're facing technical debt and maintenance nightmares. Here's how to identify, prevent, and solve this growing problem while still leveraging AI's benefits.
The future of AI-assisted development extends far beyond text-based interactions. Multimodal AI systems that seamlessly handle text, images, audio, and video are revolutionizing how we build, debug, and collaborate on software projects. From visual debugging to voice-driven coding, this new paradigm is reshaping the developer experience.
OpenAI's groundbreaking o1 and o3 models represent a paradigm shift in AI reasoning, breaking complex problems into step-by-step solutions. This new approach to AI thinking is transforming how we tackle sophisticated programming challenges and architectural decisions.
Autonomous AI agents are revolutionizing software development by working independently without human oversight. From Anthropic's Claude to OpenAI's upcoming January launch, these intelligent systems are transforming how we approach complex coding challenges and architectural decisions.
Imagine AI agents from different companies seamlessly working together—a Claude assistant coordinating with a Gemini specialist, or a GitHub Copilot agent handing off tasks to a Salesforce automation. This isn't science fiction anymore. With the emergence of agent-to-agent protocols like Google's A2A and Anthropic's MCP, we're witnessing the birth of an AI ecosystem where artificial intelligence systems can discover, communicate, and collaborate without human intervention.
The promise of an autonomous AI agent that can take a high-level goal and execute it is arguably the holy grail of applied AI. Picture telling your computer "Plan and book a vacation to Japan" and returning hours later to find flights booked, hotels reserved, and an itinerary crafted. The demos are compelling, the venture capital is flowing, and every AI company now claims to be building "agentic AI."
The AI landscape is evolving at breakneck speed, and 2025 is shaping up to be a pivotal year. As developers, staying ahead of these trends isn't just about keeping up—it's about leveraging the next wave of innovation to build better software. Here are the most impactful AI trends that are reshaping how we code, build, and deploy applications.
Exploring how AI is transforming the way we write code and build applications. A look at the latest tools and techniques that are changing the development landscape.
Thoughts on how AI will reshape software development and what it means for developers. Exploring the opportunities and challenges ahead.