Replit performance

AI Agent Accuracy Poor on Replit

Your AI agent makes poor decisions, gives wrong answers, or misunderstands user intent. Accuracy is too low for production use.

Unclear prompts, poor context, or inadequate tools reduce agent effectiveness.

Common Causes

  1. Vague or ambiguous system prompt
  2. Insufficient or wrong tool definitions
  3. Poor few-shot examples in prompt
  4. Missing context about domain/rules
  5. Tool output format confusing agent

How to Fix It

Write clear system prompt with specific instructions and constraints. Provide good examples of correct behavior. Define tools precisely with clear descriptions. Include domain knowledge in context. Test with various inputs and iterate prompt. Consider multi-step reasoning with chain-of-thought.

Real developers can help you.

Basel Issmail Basel Issmail ’m a Senior Full-Stack Developer and Tech Lead with experience designing and building scalable web platforms. I work across the full development lifecycle, from translating business requirements into technical architecture to delivering reliable production systems. My work focuses on modern web technologies, including TypeScript, Angular, Node.js, and cloud-based architectures. I enjoy solving complex technical problems and helping teams turn product ideas and prototypes into working platforms that can grow and scale. In addition to development, I often collaborate closely with product managers, business analysts, designers, and QA teams to ensure that solutions align with both technical and business goals. I enjoy working with startups and product teams where I can contribute both as a hands-on engineer and as a technical partner in designing and delivering impactful software. Omar Faruk Omar Faruk As a Product Engineer at Klasio, I contributed to end-to-end product development, focusing on scalability, performance, and user experience. My work spanned building and refining core features, developing dynamic website templates, integrating secure and reliable payment gateways, and optimizing the overall system architecture. I played a key role in creating a scalable and maintainable platform to support educators and learners globally. I'm enthusiastic about embracing new challenges and making meaningful contributions. Jaime Orts-Caroff Jaime Orts-Caroff I'm a Senior Android developer, open to work in various fields MFox MFox Full-stack professional senior engineer (15+years). Extensive experience in software development, qa, and IP networking. Dor Yaloz Dor Yaloz SW engineer with 6+ years of experience, I worked with React/Node/Python did projects with React+Capacitor.js for ios Supabase expert Matthew Butler Matthew Butler Systems Development Engineer @ Amazon Web Services hanson1014 hanson1014 Full-stack developer experienced in fixing and deploying AI-generated apps from Lovable, Bolt.new, Cursor, and Replit. I specialize in debugging Supabase integration issues (auth flows, RLS policies, database connections), fixing broken deployments, resolving routing/blank screen problems, and cleaning up messy React/Vite codebases. I also build production apps with the Claude API and have shipped a Mac desktop dev tool (Nexterm from scratch. Based in Hong Kong, fast turnaround. Antriksh Narang Antriksh Narang 5 years+ Experienced Dev (Specially in Web Development), can help in python, javascript, react, next.js and full stack web dev technologies. Vlad Temian Vlad Temian 15+ years shipping production infrastructure for startups. Former CTO at qed.builders (acquired by The Sandbox). Cursor ambassador and agentic tooling builder. I've scaled systems, automated deployments, and built observability tools for AI coding workflows. I specialize in taking vibe-coded apps from broken prototype to production-ready: fixing Supabase auth/RLS, Stripe integrations, deployment pipelines, and cleaning up AI-generated spaghetti. I build tools in this space (agentprobe, claudebin, micode) and understand both sides: how AI generates code and why it breaks. https://blog.vtemian.com/ Bastien Labelle Bastien Labelle Full stack dev w/ 20+ years of experience

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Frequently Asked Questions

How do I improve prompt clarity?

Be specific about task, provide examples, state constraints clearly

What's chain-of-thought?

Ask agent to explain reasoning step-by-step before giving answer

Related Replit Issues

Can't fix it yourself?
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