Blog
Articles on product strategy, engineering principles, and building software that lasts.
Choose a rules engine for transparent, deterministic decisions requiring continuous updates and clear audit trails. Opt for a machine learning model when decision logic is too complex or implicit for manual definition.
Frequent deployments, when executed consistently, can enhance production stability. Smaller changes are easier to debug and revert. This reduces the blast radius of issues and speeds up recovery times.
Interrupt-driven work, comprising urgent, unplanned tasks, significantly degrades engineering planning predictability. This includes production incidents, urgent feature requests, and support escalations. Mitigating this requires structural changes to processes and team organization.
Scoping an MVP in a complex domain requires precise articulation of fundamental value. It involves identifying the absolute minimum functionality to validate core assumptions. The goal is to deliver value to specific users quickly and gather feedback.
Debugging distributed systems requires a systematic approach. Engineers must correlate data across services and identify the failing component. This often involves log analysis, trace inspection, and metric examination to pinpoint root causes.
Product vision describes the aspirational future an organization aims to create. Product strategy details the path, concrete actions, and resource allocation to realize that long-term vision. Both are distinct but interdependent components of product development guidance.
Discrepancies between application logs and database state complicate incident resolution. This article outlines the common causes for these divergences. It provides a structured process for debugging, practical examples, and measures to prevent recurrence.
Deciding between building core features and integrations requires evaluating user workflow dependency, data requirements, and adoption barriers. Integrations often unlock user value more directly than new internal features, especially early on. This decision impacts product utility and market fit for initial adoption.
Effective post-incident reviews facilitate learning from production outages. They detail what happened, why, and concrete actions to prevent recurrence. The process emphasizes systemic improvements over individual accountability.
Non-technical founders hiring their first engineer must define the product's immediate technical needs. This involves specifying feature sets, understanding core technologies, and assessing communication skills. The goal is to build an initial, shippable product.
Unplanned engineering work, often a result of production incidents or unforeseen technical debt, degrades development velocity. Addressing it requires root cause analysis, improved system reliability, and process adjustments. This article outlines strategies to proactively minimize unplanned work.
Queueing systems manage asynchronous tasks and buffer variable workloads. Introduce them when direct synchronous processing creates bottlenecks, leads to data loss, or degrades performance under load. They decouple system components for better resilience.
Better Software is a product engineering company, part of Better. We build software for owners and founders who already understand the problem.
© 2026 Jalan Technology Consulting Pvt. Ltd.