Technical debt: how to measure it, prioritize it, and reduce it without blocking the product
Technical debt is not an abstract stock of bad code. It is a set of choices that slow down, weaken, or increase the cost of future developments.
PartITech blog
Technical analysis, practical guides and field experience to build, modernize and maintain sustainable applications.
Technical debt is not an abstract stock of bad code. It is a set of choices that slow down, weaken, or increase the cost of future developments.
Letting an agent rephrase, search, verify, and start over can improve complex questions. This also increases variability, cost, and the safety surface.
A good first AI project is not the most spectacular. It is the one whose value, data, limitations, and adoption method can be tested quickly.
Good research does not depend on a single algorithm. It combines the right index, business vocabulary, permissions, interface, and an evaluation method.
The right solution is not the most modern or the most customizable. It is the one that covers business value with an appropriate level of control, cost, and risk.
A graph is useful when the relationships carry an essential part of the meaning. It is costly when it artificially reconstructs what a good index already finds.
Most of the difficulties of an AI project appear before the model: unavailable sources, outdated documents, implicit rights, and lack of an owner.
An 'approve' button is not a control if the person has neither the time, nor the evidence, nor the power to refuse.
The initial quote is only part of the cost. A solid decision takes into account maintenance, operation, upgrades, incidents, licenses, and reversibility.
Separating the content from its rendering can free up several channels, but it shifts functions that the coupled CMS provided for free to the project team.
A legacy application is not defined by its age, but by the difficulty of evolving it with confidence. The right strategy combines business value, risk, and transition capacity.
A charter without an inventory controls nothing, and a register without decisions quickly becomes obsolete. Useful governance links each use of AI to an owner, boundaries, evidence, and a review cycle.