How One Solo Founder Uses Two AI Agents to Avoid Over-Engineering SaaS Products

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A solo SaaS founder has shared a two-agent AI workflow designed to prevent over-engineering during software development. The first agent, called the Agency Agent, analyzes the problem and produces a comprehensive plan covering architecture, routes, database, and edge cases. A second persona called Ponytail — modeled as a cynical senior developer — then critiques that plan, cutting speculative features and unnecessary abstractions. The guiding principle is that the best code is code that never gets written, pushing toward the smallest version that actually solves the problem. The founder applies this review process not just to code, but also to landing pages, marketing copy, and bug fixes.

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Checker: A Zero-Dependency Go Library for Declarative Struct Validation

A Go library called Checker has been released to simplify input validation by replacing verbose if-statement chains with struct tag declarations. Developers can define rules such as required fields, email format checks, minimum password length, and cross-field comparisons directly alongside struct fields. Unlike many validation libraries, Checker also includes normalizers — such as trim, title-case, and HTML escaping — that run in the same pipeline as validation rules. The library has no external dependencies beyond the Go standard library, reducing supply-chain risk and keeping build times lean. It also supports nested structs, container-level rules for slices and maps, conditional field requirements, and 23 built-in translated locales for error messages.

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

Three Common STM32 Timer Mistakes That Cause Incorrect PWM Output

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ProgrammingDEV Community ·

AI Industry in 2026: Smaller Models, Cheaper Inference, and NVIDIA's $3.5T Rise

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