... because retries only misbehave under conditions that don't exist on the day you approve them. Comment from Abhishek Patel(@abhishekpatel): I ve felt this too. If I approve AI-written code without building a mental model of the criticalpath, I m basically borrowing debugging pain from the future. For me, anything touching data, queues, auth or money still deserves a proper read ...

... without actually understanding what triggered the failure. So I changed the order. Now my first request is: Reproduce the failure before changing anything. I ask the agent to: identify the exact failing scenario reproduce it locally show the expected vs actual behavior identify the smallest failing case explain what it thinks is happening only then propose a fix That extra step has been useful because it separates: I found some code that looks suspicious from: I can actually reproduce ... ... Reverted the fix, both went red, and only then did I believe them. Thirty seconds of work. Where it doesn't apply: fixes that remove a precondition instead of changing behaviour. I moved some work off a critical

... technical hurdles I hit, and how I pushed this template to its limits. Day 1: The Initial Handshake The first day is always about the "vibe check" of the code. I downloaded the package and opened it up in VS Code. Some templates are a nightmare of nested folders and dead dependencies. Doclinic was actually pretty refreshing. It uses a standard Bootstrap 5 structure, which means I don't have to relearn how to position a div for the hundredth ... ... friendly. I had to pull real data from their SQL database and feed it into the JavaScript objects. Instead of just dumping a massive JS file into the footer, I decided to optimize the loading sequence. I used a "Critical

... every feature felt like 'Am I imagining things?'. After that, I stopped guessing. It confirmed my core direction, but it also forced me to stop asking 'what else can I build?' and start focusing on 'what is the most criticalpath to keeping this customer successful?' That sense of responsibility is exactly what changed my prioritization it turned the project into a real product overnight. Comment from Maxim Fursov(@makimum_dev): @jason_scott8  That s a great question. While ...

... trade-off great product and tech divisions have done for many years before the advent of coding agents. Focus on reliability and observability. Not all tech-debt is equal but we are keeping a close eye on the most criticalpaths with additional infra to monitor for that. What tradeoffs are you making, and what's working for you? Especially curious about teams that are heavily AI-assisted in their development workflow. Comment from Andreas Rubin-Schwarz(@andreas_rubin_schwarz ... ... Fair point and yes, I believe continuous refactoring tilts the equation here. Same can be said about error resolution. As long as instrumentation is in place to catch issues quickly one could say the trade-off of moving fast

... optimized toast hook. No raw setTimeout / setInterval / window.confirm use safe wrappers. No regex unless explicitly exempted; prefer deterministic string scanning. No legacy text fields (.category, .unit, etc.) use FK IDs. No remediation labels (CRITICAL:, FIX:, V###) in production code. No eslint-disable in frozen paths

... finally hit a stable 100/100 on Desktop and 95+ on Mobile. Here is the "Recipe" I used to get there: The Foundation: React 18 + Vite + TypeScript. Vite s build process is a game-changer for keeping the bundle lean. CriticalPath: Used link rel="preload" with fetchpriority="high" for the LCP images. It shaved off about 400ms from the initial paint. Layout Stability: Solved CLS (Cumulative Layout Shift) by using CSS aspect-ratio for every single container. Zero shifts during ...

... latency later. Curious to hear: do you think we'll ever reach a point where AI can handle manual register allocation as well as a human developer? Comment from Stan Kolotinskiy(@sk_uxpin): The framing of "vibecoding vs engineering" assumes you're choosing one mode and sticking to it. In practice I switch constantly. AI takes the grunt work, I take the decisions that matter. Also, sometimes I might decide to postpone some decision that seems "proper ... ... review and refine everything. Vibecoding the whole thing end-to-end leads to fragile code that breaks the moment you need to change something. But refusing to use AI at all means you're shipping 3x slower than your competitors

... human :D Comment from Navanita Devi(@navanita_devi): Dedy's point is interesting, the opacity problem is real. Most people conflate "AI having access" with "AI having unchecked control." They're very different things. Read-only access vs write access, logged actions vs

... unblock the most deals or revenue? I'm curious: What integrations are your sales team constantly asking for? Which ones are blocking enterprise deals? Are there patterns in what customers expect? Would love to hear what's on your criticalpath ...

... closed beta with 3 5 trusted clients or peers. They give brutally honest feedback. They ll catch things I m blind to after working on it for weeks. Automate the essentials I keep some automated tests for criticalpaths login, payments, key features. It s lightweight, but covers the backbone. Final sanity check Before launch, I step away for a day, come back with fresh eyes, and do one final run-through as if I m the end user seeing ...