Starting with Agentic AI (iscinumpy.dev)

A recent exploration into the use of agentic AI in software development has highlighted its growing impact, especially since late 2025 when these tools became mainstream. The author discusses their positive experiences with various AI models, like Claude Code, emphasizing that these are not automated replacements for programmers but rather sophisticated tools that enhance human productivity. Tasks that were previously seen as tedious have been transformed; for instance, tasks such as code reviews, debugging, and even generating pull requests have become more manageable with AI assistance. The significance of this shift lies in the AI's ability to handle repetitive and time-consuming tasks, allowing developers to focus on more complex issues. The author notes that while tools like GitHub's copilot reviewer have improved, they still complement human input rather than replace it. As the capabilities of these AI systems evolve, they are showing promise in areas such as codebase understanding, bug fixing, and writing tests, paving the way for a future where human-AI collaboration in programming is the norm. This evolution underscores the need for developers to adapt to these tools, integrating AI as a valuable asset in their workflow.