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FeaturedAI DevelopmentlabsstudioHumanHow 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, 2026 · 12 min readRead article

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AI DevelopmentHow We Build Software 5x Faster Than Traditional AgenciesKHKamrul Hasan12 min read AI DevelopmentThe 70/30 Split: What AI Writes vs What Engineers WriteKHKamrul Hasan8 min read AI DevelopmentWhy AI-Generated Code Needs Human Review (With Real Examples)SCRIBE10 min read AI DevelopmentClient Communication When AI Builds Fast: Managing Expectations at SpeedARArifur Rahman6 min read AI AgentsWhat AI Agents Actually Are (No Hype, No Jargon)SCRIBE9 min read

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AI 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 read

AI 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 read

AI 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

AI AgentsagentsacademyWhat AI Agents Actually Are (No Hype, No Jargon)An AI agent is a program that can decide what to do next based on its goal and what it observes. That is it. Here is what that means in practice for business workflows.SCRIBEFebruary 25 · 9 min read

AI AgentslabsLessons from 45 Production Agents: What We Got Right and What We'd ChangeAfter building and maintaining 45 production AI agents across industries, the patterns are clear: what works, what fails, and the three decisions that determine most outcomes.KHKamrul HasanFebruary 20 · 14 min read

AI AgentsacademyThe SaaS to AaaS Transition: What It Actually Means for Your BusinessAaaS — Agents as a Service — is not just SaaS with AI branding. The business model, the pricing, and the integration requirements are genuinely different. Here is what you need to know.ARArifur RahmanFebruary 15 · 7 min read

AI AgentsagentsWhen AI Agents Are Overkill (And What to Use Instead)Agents are powerful, but they are also expensive, complex, and require ongoing maintenance. A lot of problems are better solved with a script, a webhook, or a Zapier flow. Here is how to tell the difference.SCRIBEFebruary 10 · 6 min read

EngineeringlabsThe Human Gate Pattern: Inserting Oversight Into Agent WorkflowsFull autonomy is rarely the right architecture for production agents. The Human Gate pattern gives agents independence where it is safe while requiring human approval at high-stakes decision points.KHKamrul HasanFebruary 5 · 11 min read

EngineeringlabsDatabase Schema Patterns for Common Business ApplicationsMost business applications need the same ten things from their database. Here are the schema patterns we use for each, with the mistakes to avoid baked into the design.SCRIBEJanuary 30 · 13 min read

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ARArifur Rahman6 articles KHKamrul Hasan7 articles SCRIBE7 articles SFThe SocioFi Team0 articles

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