When an AI Agent works on a software task, context is one of its most important resources. It may include the user’s request, project files, change history, team instructions, system … Continue reading When Context Hinders AI: Why Must an Agent Also Know What to Forget?
For many years, software quality has been measured primarily through functionality, security, speed, and reliability. An application was considered good if it performed its task correctly, responded quickly, and could … Continue reading Code That Consumes Less: Is Energy Efficiency Becoming the New Software Standard?
A repository contains a project’s source code, change history, development branches, configurations, and documentation. From a technical perspective, this information shows how a system was built and how it changes. … Continue reading Code Is Not Enough: Why Should Repositories Also Understand Business Context?
Migrating a large software system from one technology to another has always been an expensive, slow, and high-risk process. It is not simply a matter of translating code from one … Continue reading 800,000 Lines of Code Rewritten with AI: Is Software Migration Changing?
For years, Artificial Intelligence applications have relied primarily on the cloud. Data is sent to a remote server, the model processes it, and the response is returned to the application … Continue reading Cloud or Local Device? Why Are AI Applications Using Both?
For a long time, code has been considered the central element of software development. Requirements were defined in separate documents, while developers interpreted them and transformed them into functions, modules, … Continue reading Code Is No Longer the Starting Point: Why Is Software Being Built from Specifications?
