What Is Technical Debt?
Technical debt is the future cost of a shortcut taken now. The metaphor is precise about one thing most teams get wrong: debt is only a problem when you stop servicing the interest.
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Jishu Labs
CTO
January 20, 2026
13 min read
Featured Article
10 articles tagged “engineering practice”
Clear tag filterTechnical debt is the future cost of a shortcut taken now. The metaphor is precise about one thing most teams get wrong: debt is only a problem when you stop servicing the interest.
When 41% of code is machine-written, the skills that compound are not the ones most training still teaches. What to prioritise, what quietly lost value, and how to build a path that survives the next model release.
Transcription is solved; the value is not in the transcript. A practical pipeline for converting recorded conversations into durable, retrievable decisions instead of another archive nobody reads.
Onboarding used to mean finding the person who wrote it. In a codebase where much of the code was generated, that person may not exist. A practical approach to ramping engineers into code with no author.
With a large share of new code now AI-generated, review is the bottleneck rather than authoring. What machines review well, what they review badly, and how to split the job without losing the part that mattered.
A story point is a relative measure of effort, not a unit of time. Almost every problem teams have with them comes from quietly converting them back into hours.
A PRD states what should be built and why, precisely enough that engineers can build it without guessing. In a world where implementation is cheap, the specification became the constraint.
A code smell is a surface indication that usually corresponds to a deeper problem. The word 'usually' is the whole point, and it is the part that gets dropped when smells become lint rules.
Four measures of software delivery performance: deployment frequency, lead time, change failure rate and time to restore. They work because they are hard to game together - and they break the moment one becomes a target.
When implementation is cheap and fast, the specification becomes the bottleneck and the durable artefact. What changes when the spec, not the code, is the thing you maintain.
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