Honest engineering notes from the LaunchSprintAI team — how we build MVPs, the AI in the workflow, product decisions and transparent experiments.
We implemented a solution for social authentication using Google and Telegram OAuth, eliminating password storage and enhancing user security.
We successfully integrated an advanced AI provider into our existing system, allowing for seamless interaction without altering the core controller logic.
We developed a method to map project complexity to pricing, moving away from hourly rates to a clear scope-based pricing model.
We transitioned to a server-rendered Blade architecture, prioritizing SEO for our marketing and cabinet app over a client-side SPA.
We developed a client progress dashboard that eliminates the need for status meetings by using project stages and a pure progress calculator.
We transformed a chaotic free-text idea into a structured MVP brief using our scripted assistant and BriefBuilder pipeline.
We implemented a fallback mechanism that maintains user experience even when the AI model fails, preventing complete degradation of service.