GPTs for iOS Development
AI Code AssistantOffers custom GPTs trained on individual Apple frameworks like SwiftUI and CoreData.
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Most people arrive knowing what they need done, not which category it lives in. 65 jobs grouped into 12 kinds of work. Pick the kind on the left, or search.
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Offers custom GPTs trained on individual Apple frameworks like SwiftUI and CoreData.
A drop-in replacement for closed-model APIs, but lacks complex customization.
Free but lacks commercial support.
Transform ideas into fully functional WordPress projects with Telex, an AI-assisted authoring environment.
Turn ideas into apps, sites, tools.
Create PostgreSQL databases instantly.
LM Studio lets you run LLMs offline on your laptop. Supports various models.
A token-powered marketplace connecting AI developers with GPU compute, backed by its own data centre.
Pipes OpenAI API results straight into website text fields without writing custom code.
Adds AI code generation, review and Jira ticket drafting across the DevOps cycle.
Interview Solver is an AI copilot for live coding interviews.
Lets teams code, prototype, and deploy AI models together, entirely from the browser.
GitHub keeps you ahead with AI-powered development tools and secure workflows. It excels in automation, security, and collaboration but can be pricey for small teams.
Turns Adobe XD or Figma designs into live, responsive web pages without writing code.
Not suitable for simple tasks, lacks basic features.
Automatically publishes Figma or Adobe XD mockups as live pages, no coding needed.
AI Prompt Manager helps store and manage GPT prompts. It’s easy to search and share.
Transform complex code into clear flowcharts instantly.
Build AI assistants from knowledge documents, deploy them in multiple ways. Start for free
Java developers in large enterprises should use it, others might find better fits.
Saves time on finding Terminal commands. Only works for macOS.
Zzzcode is an AI-powered coding assistant. Try It
Suits developers and teams needing instant, secure container access via URL.
Get real-time insights into GitHub repositories and open-source projects.
Not a development tool.
Trace and evaluate LLMs with OpenTelemetry, manage prompts, and compare models.
Adds one-click buttons that post pipeline-trigger comments on GitHub pull requests.
Turn ideas into apps in minutes — no coding needed. No limits on free mode.
Chats with an AI for quick translation, summarization and code debugging inside the browser.
Copies chat snippets in plain text, JSON, Markdown or code with a single click.
Adds Jupyter-style notebooks, GitHub sync and Excel-like grids to Salesforce administration.
Znote lets you run code inline but requires a connection to external tools for full power.
Writes text, translates languages and debugs code, all through GPT-4 in Chrome.
ChainGPT is a blockchain AI platform offering various tools and services.
Writes articles and code snippets side by side, tuned to length and style you set.
Jan is an open-source alternative to ChatGPT.
A collaborative AI chat app where engineering teams share code, ideas and curated resources live.
Suits developers needing a chat interface for AI models; bad for those without API keys.
Turns dense TC39 spec language into plain-English explanations with one click.
Charm turns your terminal into a glamorous coding space.
Use pre-trained models for serverless Node.js apps.
Chats with AI using your own code snippet library to build features, fix bugs and add comments.
Automates code reviews with AI, saving time and improving quality.
Butterfish adds AI assistance to your shell commands.
JIT.codes lets you experiment with AI models and build projects fast. It’s great for rapid prototyping.
What The Diff helps you make pull requests accessible for everyone, but it requires full access to your code.
One line of code, instant guardrails.
Real-time analytics without ETL, but requires technical setup and expertise.
Writing, reviewing and debugging code.
Software developers write, review, debug and document code, and AI tools now sit in the editor, the pull request and the chat window. GitHub Copilot and Tabnine complete code as you type, CodeRabbit reviews pull requests, and Claude and Replit handle larger tasks from a prompt. Suggestions can look right and still be wrong or insecure, so tests and code review remain the safety net.
Only after the same checks as any other code. Generated code can include bugs, outdated APIs or insecure patterns, and it may resemble licensed open source. Run tests, review it line by line, and use your normal security scanning before merging.
Completion tools such as Tabnine suggest the next lines while you type, and you stay in control of each edit. Agents take a task, change several files, run commands and report back. Agents save more time but need closer review of what they changed.
It depends on the plan and vendor. Business tiers usually promise no training on your code and offer options like zero retention or self-hosting, while individual plans may differ. Read the data terms, and ask your security team before connecting private repositories.