PostgresML
AI Developer ToolsSimplifies RAG and ML apps with Postgres and GPUs, but requires a VPC for more than one node.
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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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Simplifies RAG and ML apps with Postgres and GPUs, but requires a VPC for more than one node.
Trains ChatGPT on a chosen codebase folder so answers stay grounded in your actual project.
Ship faster with Svelte using this smart AI assistant always up to date.
GitFluence is an AI-driven Git command generator. Get started with its web app.
CodeLogician extends LLM capabilities for software analysis.
A command-line companion that adds autocomplete, shortcuts and command aliases on top of your terminal.
GitStart transforms vague tickets into quality specs with clear context, but lacks detailed documentation.
Supports interpretability across modalities, minimal modification needed.
A blockchain network for publishing and running decentralized AI apps, backed by its own OFN token.
A community hub for Llama models with docs, GPU compute access, and a forum.
Kodezi finds bugs, applies fixes, and keeps your codebase healthy.
Answers questions about any webpage using OpenAI, keeping everything stored locally for privacy.
Monica combines multiple AI models into one platform, but offers limited free features.
Offers custom GPTs trained on individual Apple frameworks like SwiftUI and CoreData.
Connect multiple AI models with one API key, but manage higher complexity and costs.
CommandAI is a command-line utility with AI, installed via npm.
Limited to SaaS projects only, SaaS Boilerplates offers a curated collection of boilerplates and starter kits.
A drop-in replacement for closed-model APIs, but lacks complex customization.
Codia rebuilds visual content into editable designs for Figma and Canva.
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.
For prompt engineering and iterative coding, not for complex projects.
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.
LaunchPadQuick provides a NextJS boilerplate with everything needed.
Best for developers looking to speed up app localization.
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
Developers can build high-quality imaging workflows without high costs or complex setup.
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
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.
Ask CLI questions to ChatGPT directly.
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.
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.