# Coding Agents: zed.dev > Custom Agentic IDE with Beautiful UI/UX, Browser Use & Intuitive Flows **Published by:** [papajams.eth](https://paragraph.com/@papajams.eth/) **Published on:** 2025-06-24 **Categories:** coding, agent, ide, web, developer, development **URL:** https://paragraph.com/@papajams.eth/zed-dot-dev ## Content I Built Three Apps Solo in Weeks. Two years ago, I had this idea amongst many others, but was stuck in a familiar loop: overly ambitious prototypes leading to abandoned repos. Integrating machine learning? Needed an expert. Blockchain micropayments? Complexity rabbit hole. Real-time computer vision and audio processing? WTF. Fast forward to 2025 and—i'm shipping. No team. No burnouts. No funding. The shift? AI-integrated tooling. I no longer have to choose between ambition and scope. With tools like Zed, I can build full-stack systems with the potential to bring my vision to reality. This isn’t a productivity hack. It’s a structural shift in how software is made.Exponential DeveloperTraditional development follows a linear growth model: more features = more time = more people. But exponential developers operate differently. With AI-native development environments, they:Offload complexity to AI agentsRapidly prototype across technical domainsMaintain architectural integrity without mental overheadWhat used to take a team of five over six months can now be done by one person in a few weeks.The Forces Behind the ShiftThe rise of the exponential developer sits at the intersection of:Wright’s Law: Efficiency improves with cumulative experienceMoore’s Law: Computing power doubles roughly every two yearsKurzweil’s Law of Accelerating Returns: Technological change is exponential, not linearWe’ve hit an inflection: where AI doesn’t just assist code completion—it drives full system architecture.Case Study #1: MegaVibe – Live Performance EconomyZed's UI/UX modifications span animations, feature cards & much moreIdea: A platform where artists monetize performance energy through real-time tips, verified by location. Architecture:Mantle blockchain micropaymentsGPS-verified proof-of-presence protocolWebRTC live streamingDecentralized tipping infraOld Way:4-5 developers across frontend, blockchain, backend, and DevOps8-12 months development$500K+ budgetWhat I Did Instead: With Zed, I:Deployed smart contracts in days, guided by AI-generated Solidity patternsBuilt GPS proof-of-presence logic with AI code review supportIntegrated WebRTC livestreaming using AI-guided React flowsDelivered the MVP in 1 week: https://megavibe.vercel.appResults:Deployed a fully working decentralized tipping platformShipped live to users for under $500 in infra/tooling costs (testing in beta at next event)Case Study #2: ImperfectCoach – Multi-Model AI Orchestration Fitness Platform Goal: Real-time AI coaching with LLM orchestration and user motion tracking Stack:OpenAI, Gemini, Claude via serverless LLM routerReal-time motion tracking with MediaPipeBlockchain-based identity verificationSupabase DB + AWS LamdaTraditional Build Requirements:AI/ML expert, blockchain dev, backend architect, UI/UX engineer6-9 month timelineMy Reality:Zed’s multibuffer editing enabled orchestration of multiple LLMsAI agent helped debug API response issues across providersCreated the full system from scratch in under 4 weeks: https://imperfectcoach.netlify.appKey Unlocks:Zero external research required for AI model integrationReal-time code insights into system dependenciesSingle codebase orchestration with full architectural visibilityAWS + Supabase Backend SupportThere is ZERO chance I would ever have been able to navigate the complexity of AWS console + Supabase simultanously to deliver on this. Its performant and useful, super proud its out. For a limited time its free for users to try out, kindly share feedback and tweet about us: https://x.com/ifdotfunCase Study #3: ImperfectBreath – Computer Vision Wellness PlatformVision: Personalized breath coaching using computer vision and real-time audio processing Technical Stack:Computer vision for posture analysisReal-time audio analysis for breath pattern detectionAI-generated coaching feedbackWebRTC for live coachingChallenges:Real-time ML pipelinesCross-modal data synchronizationFrontend motion designMy Approach:Built CV pipeline in 48 hours with AI assistanceDesigned ML-based feedback loop without ML expertiseStreamlined complex UI animation using AI-injected CSS/JS logicOutput:A functional, responsive platform demo in a weekReady for real user feedback and live testingZED ui/ux is beautiful, as is its efficacy!Economics of Exponential DevelopmentFactorTraditional TeamExponential Dev (Me)Timeline8-12 months3-4 weeksTeam Size4-6 people1Cost$500K+<$20KToolingVS Code + pluginsZed (AI-native)Debugging Time40+ hrs/week~10 hrs/week (AI-aided)These are not minor improvements. They're a restructuring of the cost-function of software development.What Makes Zed the Right ToolWhen I first came across it I was hesitant to download a dedicated IDE - why not just use an extension in VS CODE?! Turns out by vertically integrating their stack they can really optimise the user experience. Key Differentiators:<1s startup timeNative multiplayer codingContext-aware AI via Agent PanelLow memory + power usageFull-codebase understandingTable: Zed vs OthersMetricZedVS CodeJetBrainsStartup Time<1 second3-5 sec5-10 secRAM Usage~150MB~500MB~700MBCollaborationBuilt-inPluginsComplexAI ContextFullPartialPluginSource ModelOpen (GPLv3)ClosedClosedTakeawaysAI as a Teammate: Not a helper. I ask it hard questions. We design systems together.Architectural Thinking Wins: Coding is easier now. The hard part is systems thinking.Start Small, Iterate Fast: I don't aim for perfect. No problem is now unsolvable. Imagination Is the New Bottleneck: Not tech skills.From Idea to ExecutionThe hardest part of building used to be execution. Now, it’s ideation and discernment. If you’re a developer who’s been burned by the complexity of full-stack ambitions, I’m here to tell you: it’s time to build again. The tools have changed. The game has changed. And you? You just might just be a more exponential developer than I am, if you try!All projects referenced in this article are live open-source repositories available on GitHub:MegaVibeImperfectCoachImperfectBreathSubscribeSupporting writers is beyond the call of duty, reading this far is its own form of glory, appreciate you.CollectConnectFarcaster @papa — warpcast.com/@papaLens @papajams — lenster.xyz/u/papajamsTwitter @papajimjams — twitter.com/papajimjamsReadPAPA - runwayML: https://paragraph.com/@papajams.eth/from-photos-to-claymation-with-runwaymlPAPA - lens hackathon: https://fountain.ink/p/papajams/p0psmk45tcrp0c1rgdPAPA - filecoin hackathon: https://paragraph.com/@papajams.eth/filecoin-hackathonPAPA - mento hackathon: https://paragraph.com/@papajams.eth/global-stablecoin-hackathon ## Publication Information - [papajams.eth](https://paragraph.com/@papajams.eth/): Publication homepage - [All Posts](https://paragraph.com/@papajams.eth/): More posts from this publication - [RSS Feed](https://api.paragraph.com/blogs/rss/@papajams.eth): Subscribe to updates ## Optional - [Collect as NFT](https://paragraph.com/@papajams.eth/zed-dot-dev): Support the author by collecting this post - [View Collectors](https://paragraph.com/@papajams.eth/zed-dot-dev/collectors): See who has collected this post