Category
AI Development
Methodology, AI coding process, and quality gates.
9 articles
AI DevelopmentlabsThe Human Review Gate: Why AI Systems Need It and What Happens Without ItRemoving human oversight from AI pipelines is not efficiency — it is risk transfer. Here is the engineering case for human review gates and how to design them so they do not become bottlenecks.SocioFi LabsApril 11 · 9 min readAI DevelopmentparentWhat Makes AI-Native Development Different From Regular Software DevelopmentIt is not about using AI tools. It is about building systems where AI is a first-class participant in every stage — and knowing exactly where humans remain irreplaceable.SocioFi LabsApril 10 · 7 min readAI DevelopmentlabsDocumentation-First Development: Writing the System Before Building ItThe methodology that makes AI-native development teams faster and more predictable. Write the architecture and specification before any code runs — and watch delivery speed and quality both improve.SocioFi LabsApril 7 · 8 min readAI DevelopmentlabsSkill Documents: Why Agents Are Only As Good As Their KnowledgeThe most underestimated component in any agent system is not the model. It is the structured knowledge you feed it. Here is how skill documents work and why they are the real IP of an AI-native development shop.SocioFi LabsApril 5 · 9 min readAI DevelopmentparentstudioHow We Build Software: The SocioFi ModelA transparent look at the AI-native development pipeline that powers every Studio project — 10 agents, defined human gates, and a process built to produce production-ready systems, not prototypes.SocioFi LabsApril 3 · 8 min readAI DevelopmentlabsstudioHow We Build Software 5x Faster Than Traditional AgenciesAI handles 70% of the implementation. Engineers handle the 30% that decides whether the product actually works in production. Here is exactly how that split works in practice.KHKamrul HasanMarch 15 · 12 min readAI DevelopmentlabsThe 70/30 Split: What AI Writes vs What Engineers WriteA precise breakdown of what our AI agents produce versus what engineers own. The line is sharper than you might expect — and knowing where it falls changes how you think about cost and speed.KHKamrul HasanMarch 10 · 8 min readAI DevelopmentlabsWhy AI-Generated Code Needs Human Review (With Real Examples)AI writes good code. It also writes specific categories of bad code — reliably, predictably, and in ways that are hard to catch without knowing where to look. Here is what those failure modes look like.SCRIBEMarch 5 · 10 min readAI DevelopmentstudioClient Communication When AI Builds Fast: Managing Expectations at SpeedWhen a project moves from kickoff to demo in two weeks, clients expect the same timeline for feedback, decisions, and approvals. Most are not prepared for that. Here is how we handle it.ARArifur RahmanMarch 1 · 6 min read