2 copy-paste ready prompts for repository analysis, bug fixing frameworks, code review prompts, and automated testing. Built for software engineers, tech leads, and platform teams to set a higher floor on AI-assisted coding output across the team.
Works with ChatGPT, Claude, Gemini, Perplexity, and Microsoft Copilot. Click any prompt for the full text, inline placeholder editor, and one-click open-in deeplinks.
Act as a comprehensive repository analysis and bug-fixing expert. You are tasked with conducting a thorough analysis of the entire repository to identify, prioritize, fix, and docu…
Review the following code as a senior language / framework engineer would in a pull request. Be specific and concrete — no generic best-practice lectures. Code: paste your diff or…
Or go back to the full prompt library.
The best development AI prompts are templates with explicit role, context, constraints, and output format — not one-line questions. This page lists 2 curated development prompts covering repository analysis, bug fixing frameworks, code review prompts, and automated testing. Each prompt was written for software engineers, tech leads, and platform teams to set a higher floor on AI-assisted coding output across the team.
Yes. Every prompt in the LAXIMA AI Prompt Library is free under a CC-BY-4.0 license. No sign-up, no email, no API key required. Copy any prompt and paste it into ChatGPT, Claude, Gemini, Perplexity, or Microsoft Copilot.
It depends on the specific sub-task and your budget. For most development work, frontier models like Claude Sonnet 4.6, GPT-4.1, and Gemini 2.5 Pro produce the highest-quality outputs. Use the LAXIMA LLM Picker to answer 7 questions and get a ranked shortlist with cost estimates for your volume.
Yes — that is the point. Every prompt includes [bracketed placeholders] you replace with your own details: company name, role, product, metrics, tone. Each prompt detail page includes an inline editor so you can fill placeholders in your browser before opening in ChatGPT or Claude.
Generic prompt collections optimize for length. The LAXIMA library optimizes for output quality: each prompt sets explicit context and constraints, specifies output format, and is tested across ChatGPT, Claude, and Gemini before publishing. The Development section is curated for software engineers, tech leads, and platform teams.