
Engineering
How to Write a PRD Engineers Can Actually Build From
Most PRDs fail because they describe a solution instead of a problem, and leave the ambiguity for engineers to discover mid-sprint. Here is a format that does not.

Insights & Updates
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129 articles · page 2 of 11

Engineering
Most PRDs fail because they describe a solution instead of a problem, and leave the ambiguity for engineers to discover mid-sprint. Here is a format that does not.

Engineering
A repeatable method for turning a client brief into a defensible cost and timeline: decompose, estimate ranges, apply a measured multiplier, and show your working.

Engineering
An honest comparison of AI and static-analysis code review tools — what each catches, what each misses, and when a human review is still the only thing that works.

Security
Prompt injection is when untrusted text reaching a model's context gets treated as instruction rather than data. It has held OWASP's number one LLM risk slot across every edition, and agents made it materially worse.

Engineering
Transcription is solved; the value is not in the transcript. A practical pipeline for converting recorded conversations into durable, retrievable decisions instead of another archive nobody reads.

Backend & APIs
Normalization organises tables so each fact lives in exactly one place. Understanding what it prevents matters more than reciting the normal forms - and knowing when to break it matters most.

Engineering
Onboarding used to mean finding the person who wrote it. In a codebase where much of the code was generated, that person may not exist. A practical approach to ramping engineers into code with no author.

Engineering
Cyclomatic complexity, defined by Thomas McCabe in 1976, counts a function's independent paths: one plus its decision points. McCabe proposed a limit of 10.

Engineering
With a large share of new code now AI-generated, review is the bottleneck rather than authoring. What machines review well, what they review badly, and how to split the job without losing the part that mattered.

Cloud & DevOps
A service level objective is a target for reliability, deliberately below 100%. The number is not the point - the error budget it creates is, because that is what turns reliability into a decision instead of an argument.

Security
Financial services has governed models for decades. Generative AI does not escape that framework - it stresses it. What model risk management asks of an LLM feature, and what to instrument.

Backend & APIs
An entity-relationship diagram shows what things exist in a system and how they relate. Its real value is not documentation - it is that cardinality forces questions nobody asks until the data is wrong.
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