Pub/sub decouples services at the network layer while recoupling them at the schema and semantic layers. Three coupling modes explain why this happens and what prevents each one.
67% of enterprises say they've deployed LLMs. Fewer than 30% have systems that reliably perform in production. Here's what's actually shipping with local models and what got quietly abandoned.
Annual plans retain better than monthly ones — that part is true. But the 92% vs 68% gap contains two distinct effects, selection and lock-in, that imply opposite things about your product.
Boring technology isn't a consolation prize for teams that couldn't keep up with the AI wave. The case for it is stronger in 2026 than in 2020, and the reasons aren't the ones you'd expect.
LLM-as-a-judge is appealing: cheap, automatic, and scalable. It fails in three specific, predictable ways that only become visible once your eval scores stop correlating with what users are actually complaining about.
Most engineers today encounter the SSE vs WebSockets vs polling question through LLM streaming APIs, not stock tickers. This guide covers when each wins and the operational trade-offs comparison articles usually omit.
Most companies believe they have an engineering IC track for senior engineers. Most don't. Here are three signs your IC track is fake, and the structural changes that make it real.
Async replication means your replica always lags behind your primary. Most teams add replicas without auditing for four bug classes this creates: phantom 404s, stale list data, apparent reverts, and workflow failures.
Most B2B founders treat pricing as a number they pick and revisit annually. It is a product decision that shapes your roadmap, your customer profile, and your growth motion from day one.
Most security checklists were written for teams with a dedicated security engineer. Here is the version for a 10-person SaaS with two engineers, one overloaded CTO, and an enterprise prospect asking for a questionnaire.
Partial indexes in Postgres speed up filtered reads and can also cut UPDATE throughput by 40%. Here is the full picture: the selectivity threshold, HOT updates, and covering partial indexes.
AI has broken the signal in most engineering take-home formats. The one that survives is code review — and the reason it survives reveals what you should be measuring in the first place.
Practical guides, product updates, and compliance notes — straight to your inbox. No fluff.
Newsletter is opening soon. We'll switch this on once we've got our first issue ready.