Insights
Engineering, with more context.
Ideas and practical approaches to understanding software, making informed changes and working with AI.
Featured insight
Why large codebases are hard to understand
The difficulty is often in relationships, boundaries and historical decisions rather than the number of files.
Read articleThe checkout entry point reaches a service, its payment and order dependencies, a validation contract and a test. Lines illustrate static relationships, not runtime execution.
Entry pointcheckout.test.ts
01Checkout servicecheckout-service.ts
02Payment gatewaypayment-gateway.ts
03Order moduleorder-service.ts
04Validation contractvalidation.ts
05Related checkscheckout.test.ts
06Selected module · Static relationships · Supporting checks
checkout-service.tsImports these modules
01payment-gateway.tsPayment adapter
02order-service.tsOrder model
03Code understanding
Beyond file search: asking questions about structure
Search locates text; structural exploration helps explain how the results participate in a system.
Read articleTaskA focused question
01Relevant codeSource + relationships
02Context packageBounded review material
03Agentic engineering
Why agents need structural context
Relevant code includes the relationships that constrain a change, not only the file an agent is editing.
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