Debugging a System You Did Not Build
A hypothesis-driven method for debugging unfamiliar systems, from external symptoms and recent changes to log reading, hypothesis tests and escalation.
Better Software Team
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Articles on product strategy, engineering principles, and building software that lasts.
Start With a Monolith, Extract Later
A single deployable monolith keeps early-stage development fast and operations light. Extract a service only when a concrete scaling or team pain appears.
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Staying Reliable While Shipping Fast
Fast iteration raises regression risk. Pair automated testing, canary rollouts, observability and rollback practice to ship quickly without breaking production.
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Structuring a Codebase That Scales
Structure a product codebase around bounded domains, explicit interfaces, modular deployment and clear ownership so it keeps scaling with the team.
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Fewer Incident Interruptions for Engineers
Production incidents keep pulling engineers off planned work. Track the interruptions, find the causes, and fix observability, testing and on-call to stop them.
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Why One Class of Bug Keeps Returning
A recurring class of bug points to systemic gaps in analysis, testing and process. Investigate the class, not the single incident, and fix the system.
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How to Validate an MVP Before You Build
How to validate an MVP without building the product. Match the method to your riskiest assumption, set a pass mark first and decide from behavior, not praise.
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How to Prepare for 10x Traffic
How to prepare a product for 10x traffic without over-engineering. Measure, load test to find the first limit, fix bottlenecks in order and plan for overload.
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Root Causes Behind Repeat Incidents
Why the same incidents keep returning: partial fixes, weak monitoring, fragile architecture and thin testing, and how to find the pattern behind them.
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When a Rules Engine Beats Machine Learning
When a rules engine is the better choice than a machine learning model, how the two compare on six factors, and how to combine them in decisions like lending.
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Deploy Frequency and Production Stability
Frequent, small deployments are easier to debug and revert, which limits blast radius. See what makes the pattern safe and why batching releases backfires.
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Protecting Sprint Plans From Interrupts
Incidents, support escalations and urgent requests break sprint plans. Log them, find the top sources and add on-call, intake and capacity rules to stop it.
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