Why Milestone-Based Delivery Beats Hourly Billing
Hourly billing creates misaligned incentives. Here's why milestones work better for everyone.
Insights on software development, technical strategy, and building reliable systems.
Hourly billing creates misaligned incentives. Here's why milestones work better for everyone.
The statistic is sobering: 70% of software projects fail to deliver on time, on budget, or on scope. Here's what causes these failures and how to prevent them.
Technical debt is inevitable, but it doesn't have to be unmanageable. Learn strategies for keeping it under control.
SLIs, SLOs, and error budgets give reliability a language that engineers and business stakeholders can reason about together. Here's how to implement them practically, not just theoretically.
Your developer keeps saying you have 'technical debt.' Here's what that actually means in dollars and timelines.
Most alert systems page engineers too often for things that don't matter, and not quickly enough for things that do. Here's how to build an alerting strategy that your on-call team will actually trust.
Every shortcut you take today becomes a toll road you pay to drive on forever. Here's what 'fix it later' actually costs.
Unstructured log lines are nearly impossible to search, aggregate, or alert on at scale. Structured logging transforms your logs into queryable data that actually helps you debug production issues.
They build the whole thing before talking to a single customer. Then they find out nobody wants it.
A CSS change that looks fine locally can silently break your UI in production. Visual regression testing catches those changes automatically by comparing screenshots before and after every deployment.
Most agencies hide their problems. We put ours in a dashboard. It sounds crazy—until you see what it does for trust.
Poor test data management causes slow tests, flaky tests, and tests that are impossible to understand. Here's how to build a test data strategy that stays maintainable as your codebase grows.
Sometimes the best thing you can do for a client is tell them they don't need you anymore. Here's why we build ourselves out of the job.
Unit tests verify specific examples. Property-based tests verify that rules hold across hundreds of randomly generated inputs. The bugs they find are the ones you never thought to test for.
The prospect wanted to hear 'yes, we can do that in 6 weeks.' We said no. Here's why that was the best decision we made that quarter.
Let's discuss how we can help you build reliable software.
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