AI Coding Tools

Lovable turns a plain-English chat into a working app or website, no coding required. Describe what you want, watch it build in real time, then tweak and ship with one click. It's the fastest way we've seen to get from idea to working prototype.

Julius AI turns a plain-English question into a finished chart or analysis. Upload a spreadsheet or connect a database, ask a question like you'd ask a colleague, and it writes the code, runs it, and hands back a clean answer, no coding required.

Context.dev is a scraping, logo, and brand-data API for developers and AI teams. Point it at a domain and get back structured JSON: page content as clean markdown, company logos, brand colors and fonts, and industry classification codes, all through one API instead of five.

Osloq is an AI agent that reads a GitHub issue, spins up a real sandbox, clones your repo, and tries to reproduce the bug the way a developer would. It traces the code path, captures logs and screenshots, and posts an evidence-backed report as a GitHub comment instead of guessing.

Deepnote is a cloud notebook for data teams to write Python and SQL together in real time, with built-in AI assistance and one-click sharing, no local setup required.

SpellBox is a desktop app and VS Code extension that turns plain-English prompts into working code, with an explain-my-code mode and snippet bookmarking, across 16+ languages including Python, JavaScript, Java and Rust.

Pgrammer is a GPT-4-powered coding interview trainer that simulates a FAANG-style technical interview, giving real-time hints when you're stuck and feedback on your solution after you submit, across 20+ languages.

Tabnine is an AI code completion and chat assistant that can run fully on-prem or air-gapped. It learns your team's own codebase instead of just public repos, and never trains on your code by default.

Windsurf was an AI-native code editor built around an agent called Cascade. As of June 2026 it's been folded into Cognition's Devin brand and renamed Devin Desktop, with a new Rust-based local agent and a Kanban-style command center for running multiple coding agents at once.

Blackbox.AI is a multi-agent coding assistant that can dispatch several different AI models on the same task at once, then uses its own "Chairman" model to judge and merge the best result. Available as a VS Code extension, CLI, API, and web app.

CodeGeeX is a free AI coding plugin for VS Code and JetBrains IDEs that started as an academic project at Tsinghua University. It handles code completion, chat, code translation between languages, and comment generation, and its core features stay free for individual developers.

Replit is a browser-based coding platform built around an AI Agent that can scaffold, test, and fix full-stack apps from a plain-language prompt. It bundles hosting, a database, and deployment in the same workspace, so nothing needs local setup.

Qodo (formerly CodiumAI) is an AI code review and test-generation platform. It reviews pull requests with full codebase context, flags breaking changes across dependent repos, and turns your team's past PR history into enforceable coding standards.

Gitfluence is a free, no-signup web tool that turns a plain-English description ("undo my last commit but keep the changes") into the correct Git command. No installation, account, or subscription involved.

Durable is an AI website builder that also throws in a CRM, booking calendar, and basic marketing tools, aiming to replace a stack of small business software with one subscription. Answer a few prompts and it generates a live site, logo, and copy in under a minute. It's built for solo operators and local businesses who want to be online fast, not for anyone who wants deep design control.

10Web uses a team of AI agents to build a full, production-ready WordPress site from a text prompt in about 10 minutes, then hosts it on managed Google Cloud infrastructure. Unlike closed website builders, what you get is an actual WordPress install with access to the full plugin ecosystem, not a proprietary format you're locked into. It's aimed at freelancers, agencies, and small businesses that want WordPress's flexibility without WordPress's usual setup headache.

PlugThis is an AI builder focused entirely on Chrome extensions, not general apps or websites. You describe what you want, and it generates a working Manifest v3 extension, including the manifest, content scripts, background workers, and popup UI, ready to load into Chrome or ship to the Web Store. It's a narrow tool that does one thing general builders like Lovable or Bolt tend to fumble.

Auriko is a routing layer that sits between your app and LLM providers like OpenAI, Anthropic, Google, xAI, and DeepSeek. Instead of hardcoding one provider, you call Auriko's single OpenAI-compatible API, and it picks the lowest-cost, most reliable route for each request in real time. It's built for developers, not consumers, and it charges no markup on top of provider pricing.

Cursor is a fork of VS Code with AI baked into every part of the editor, not bolted on as a sidebar. It reads your whole codebase, predicts your next edit, and can run multi-step coding agents that write and test code on their own. For developers who already live in VS Code, it's close to a drop-in upgrade.

Glaze is Raycast's AI app builder for macOS. You describe an app in plain English and it generates a real native app that lives on your machine, complete with keyboard shortcuts, menu bar access, and file system access, not just a browser tab pretending to be an app. It shipped publicly on July 1, 2026 with a community app store, currently Apple Silicon and macOS Tahoe only, with Windows and Linux planned but not live yet.

Softr is a no-code app builder that lets you describe a business app, a client portal, an inventory tracker, a dashboard, and get a working version from an AI assistant, then tweak it visually from there. It leans on an internal database plus connections to Airtable, Notion, and Google Sheets so you are not stuck building your data model from zero. It is aimed at non-technical teams who need real software without hiring developers.

Modelence is an AI app builder that generates a full stack, frontend, backend, database, and authentication, from a plain-English description. It targets founders and small teams who want a real, deployable app rather than a static mockup you have to hand off to a developer. It's a very new entrant in a crowded field of AI builders, so its production-readiness claims are still unproven at scale.

Adam is an AI copilot for hardware engineering teams that connects to CAD tools like Onshape, Fusion, and SolidWorks to automate BOM management, design reviews, supplier sourcing, and RFQs. It's built for mechanical engineers and manufacturing teams who spend more time chasing paperwork than designing. It's a brand-new product, so while the pricing and integrations are unusually well documented for a launch this fresh, it hasn't been proven yet on complex, long-running hardware projects.

Tamamon is a free macOS app that sits on top of your screen as a pixel pet, hatching and evolving based on how much you use Claude Code. It's a solo-built novelty project, not a productivity tool, and it reads only local Claude usage numbers with nothing uploaded or tracked.

Perfai Security is an autonomous security platform built for apps made with AI coding tools like Replit, Lovable, Claude Code, and Cursor. Its agents probe your live app for access-control flaws, business-logic bugs, and prompt-injection issues, then open a pull request with the fix rather than just handing you a report to act on yourself.

You.com has pivoted from being a consumer AI search engine into a usage-billed search and research API for developers building AI apps and agents. If you remember it as a ChatGPT-style search alternative, that consumer product has effectively been wound down in favor of this API-first business.

LongCat-2.0 is Meituan's open-weight language model, a 1.6 trillion parameter mixture-of-experts system with a native 1M-token context window, released free under the MIT license. It leans hard into coding and agentic workflows, with strong benchmark performance on repository edits and multi-step task execution, and it plugs into tools like Claude Code. This is a model for developers and researchers who want to self-host or fine-tune, not a polished consumer chat app.

GitHub Copilot suggests code as you type, answers questions in chat, and can now run longer autonomous coding tasks through its cloud agents. It plugs into VS Code, JetBrains, Visual Studio, and the command line, so most developers already have it one install away. It's the most widely adopted AI coding assistant simply because it lives where developers already work.

v0 turns a text prompt into a working web app, complete with a live preview, editable code, and one-click deployment to Vercel. It leans on modern React and Next.js patterns, syncs directly with GitHub, and even lets you import a Figma design as a starting point. It's built by the same team behind Vercel and Next.js, so the code it generates tends to be genuinely production-shaped rather than throwaway.

Bolt.new, built by StackBlitz, generates full-stack web apps in the browser, complete with a database, hosting, and authentication, all from a chat prompt. It supports design systems like Material UI and Shadcn out of the box and can import from Figma or GitHub to get a head start. Everything runs in-browser via WebContainers, so there's nothing to install to start building.

Devin, built by Cognition, is an AI agent designed to work like a junior software engineer: it plans a task, writes the code, tests it, and can ship it, mostly on its own, inside your existing codebase and tools. It's meant to let human engineers spend more time on architecture and problem-solving and less time on routine implementation. Pricing runs on Agent Compute Units (ACUs) rather than a flat monthly fee, which takes some getting used to.

Together AI is a cloud platform for running and fine-tuning open-source AI models, from Llama and Qwen to image and video generators, without managing your own GPUs. It's built for developers who want the flexibility of open models with infrastructure that scales, priced per token or per GPU-hour rather than a flat subscription. It competes directly with the likes of Fireworks and Replicate on price and model selection.

Aider is an open-source command-line tool that lets you pair program with an LLM directly in your terminal, editing real files in your existing codebase rather than a sandbox. It works with Claude, GPT, DeepSeek, and local models, and you bring your own API key, so Aider itself has no subscription fee. It's a favorite among developers who want AI coding help without leaving the terminal or committing to a specific vendor's IDE.

Edgee is an AI gateway that sits between coding agents like Claude Code and Codex and the LLM provider, compressing tool results and trimming output to cut token costs by up to 50% without changing your code. It also handles routing with automatic fallback to other providers and gives teams observability into who's spending what. It's built for developers and teams running heavy agentic coding workloads who are watching their API bills climb.

Nixmac is a native Mac app that puts an AI agent in front of nix-darwin, letting you describe the system configuration you want in plain English instead of hand-writing Nix files. The agent plans the change, edits the config, builds it, and shows you a full diff before anything gets applied, with every change committed to git automatically. It's built for developers who want a reproducible, version-controlled Mac setup without learning Nix's notoriously steep syntax first.

Ollama lets you download and run open-source language models like Llama and Qwen directly on your own computer, no API key or internet connection required for the core experience. It's built for developers who want to experiment or build with local models for privacy, cost, or offline reasons. A newer cloud tier adds access to larger models than most laptops can run, for a monthly fee.

Langfuse is a developer tool for tracing, testing, and scoring what your AI agents and LLM apps actually do in production. It logs every call, prompt version, and cost so engineering teams can debug failures instead of guessing. It's built for people shipping real LLM products, not just prototyping.

Aura sits on top of Git and tracks code by its actual logic (the syntax tree), not just changed lines. It checks whether an AI coding agent's commit actually matches what it said it was doing, and lets you roll back a single broken function instead of a whole file. It's built for teams who let agents like Claude Code, Cursor, or Copilot commit code and want a paper trail.

Cline is a free, open source AI coding agent that lives inside VS Code and works in plan-and-act cycles, reading your codebase before it edits it. It can run terminal commands, edit multiple files with diffs you can undo, and connect to MCP servers for extra tools. You bring your own API key, so the software itself costs nothing but the model usage doesn't.

Greptile reviews pull requests with full context of your codebase, not just the diff in front of it, so it catches multi-file bugs a line-by-line linter would miss. It can also write and run tests in a sandbox before flagging a PR as safe. Teams at Stripe and Amazon reportedly use it, and it's backed by a $30M Series A led by Benchmark.

CodeRabbit is an AI code review tool that comments on pull requests across GitHub, GitLab, Azure DevOps, and Bitbucket, using a codegraph engine to understand how files depend on each other. It flags bugs, security issues, and style problems, then offers one-click fixes. It's used across more than 6 million repositories and claims over 75 million defects found to date.

DeepSource is a code quality and security platform that combines over 5,000 deterministic static analysis rules with AI review agents to catch bugs, vulnerabilities, and anti-patterns in pull requests. It adds PR gates that block merges when quality standards aren't met, plus secrets detection and dependency vulnerability scanning. It's built for teams who want static analysis and AI review working together rather than picking one.

Kodus is an open source AI code review tool that positions itself as the transparent alternative to closed platforms like CodeRabbit. You bring your own API key for Claude, GPT-4, Gemini, or Llama, and Kodus charges zero markup on the AI cost itself, only a flat per-developer fee. It works across GitHub, GitLab, Bitbucket, and Azure DevOps, and can be self-hosted for teams that don't want code leaving their infrastructure.

Mintlify is a documentation platform built for both human readers and AI agents, generating docs sites that self-update and stay accurate as your product changes. It includes an AI assistant that answers questions directly inside your docs, plus an MCP server so coding agents can pull your documentation as structured context. Over 20,000 companies use it, including Anthropic, Amazon, and Coinbase.

Swimm started as a continuous documentation tool that kept code-coupled docs in sync with the codebase, but has since repositioned as an application understanding and modernization platform. It now uses deterministic static analysis plus AI agents to reverse-engineer legacy systems, including COBOL and mainframe code, extract business rules, and hand structured context to AI coding agents via MCP. It's built for enterprises modernizing old codebases, not solo developers writing docs.

Vanna AI is an open source SQL agent that turns plain-English questions into SQL queries and runs them against your database. It supports SQLite, PostgreSQL, MySQL, Snowflake, and BigQuery, and works with Claude, OpenAI, Gemini, or local models via Ollama. Teams can self-host it or use the hosted cloud version with access control and audit logs.

AI2SQL converts plain-English descriptions into working SQL queries across seven databases, including Postgres, MySQL, Snowflake, BigQuery, and MongoDB. It adds a semantic schema layer so generated queries actually match your real tables, plus read-only governed execution with audit logging for teams that need to keep AI-generated queries in check. It's used by over 50,000 people, including enterprise customers like Nutanix and Gusto.

SQLAI.ai turns natural language into SQL across 28 database engines, spanning relational, analytics, NoSQL, and graph databases. It also optimizes existing queries, explains them step by step, and converts SQL between different database dialects. It reports over 150,000 users and 25 million queries generated, with reference clients like Airbnb, Amazon, Spotify, and JPMorgan listed on its site.

QA Wolf uses AI to map out your entire app automatically, then converts plain-language prompts into real Playwright and Appium test code for web, iOS, and Android. Tests run in full parallel, and its Coverage-as-a-Service option pairs the platform with dedicated engineers who build, maintain, and investigate test failures for you. It has a 4.8-star G2 rating from over 100 reviews and customers including Salesloft, Metronome, and Drata.

Beekeeper Studio is a SQL client and database manager with a clean modern interface, supporting more than 25 database systems including MySQL, PostgreSQL, SQLite, SQL Server, MongoDB, and Snowflake. It has a genuinely free and open source Community edition, plus an AI Shell for pairing with AI models directly in the query editor. It's used by teams at Fanatics, the NHS, iFixit, and Google, and ships regular updates, the latest being version 5.9 in July 2026.

Amazon Q Developer is AWS's AI coding assistant, built into VS Code, JetBrains, Visual Studio, Eclipse, and the command line, plus deep integration with AWS's own services. It handles real-time code suggestions, inline chat, security scanning, and agentic tasks like automated testing and documentation, and it knows AWS architecture well enough to give cloud-specific optimization advice. It's generally available and actively maintained, with recent updates adding GitLab integration and expanded Java and .NET transformation support.

Kilo Code (now branded Kilo) is an open-source AI coding agent that plugs into VS Code, JetBrains, and the command line. It works with over 500 models across 60+ providers at the provider's own rate, so you are never locked into one AI vendor or paying a hidden markup. It suits developers who want an agentic coding tool they can inspect, self-host, or swap models on mid-session.

Emergent is an AI app builder that turns a text prompt into a working web app, mobile app, dashboard, or internal tool, handling the coding, design, and deployment for you. It runs on a credit system tied to task complexity rather than a flat unlimited plan, so cost tracks with how much you actually build. It fits founders, PMs, and non-developers who want a working prototype fast without hiring an engineer first.

Verdent is an agentic coding platform that runs multiple AI agents in parallel to plan, write, and review code across a whole project, not just one file at a time. It supports major models like Claude and GPT through the IDE or via Slack and Telegram for remote task handoff. It's built for founders and small teams who want an autonomous coding agent without paying the four-figure entry price of tools like Devin.

Firecrawl is a developer API that scrapes, crawls, and searches the web and hands back clean markdown or structured JSON instead of raw HTML. It handles JavaScript-rendered pages, respects robots.txt, and can even interact with pages behind logins or multi-step flows. It's built for developers feeding AI agents and RAG pipelines with real web data, not for non-technical users looking for a point-and-click scraper.

Stagehand is an open-source browser automation framework that replaces brittle CSS selectors with natural-language commands, using four primitives: act, extract, observe, and agent. It works locally with any Chromium browser out of the box and connects optionally to Browserbase's cloud infrastructure for production deployment. It's built by the Browserbase team for developers writing AI agents that need to reliably click, fill, and read real webpages.

Mastra is an open-source TypeScript framework for building AI agents, workflows, and MCP servers, with built-in memory, observability, and support for 90+ model providers through one interface. It's free to self-host under Apache 2.0, with an optional paid cloud platform for observability, hosting, and team features. It's built for developers who want to build agentic AI applications in TypeScript rather than defaulting to Python.

Mabl is an agentic test automation platform that generates and maintains its own tests across web, mobile, and API surfaces, using GenAI to auto-heal tests when the application under test changes. It pushes failure triage insights into tools like Jira and Claude Code, and runs tests in parallel as part of the development workflow. It's used by large companies including JetBlue, Intuit, Lowe's, and Roche, and is SOC 2 Type II compliant.

Hugging Face is the largest open hub for machine learning models, datasets, and demo apps (Spaces), used by both hobbyists and enterprise ML teams to discover, host, and deploy models. It's best for developers and researchers who want to browse or ship open-source models without building infrastructure from scratch. The honest caveat: the sheer size of the hub means model quality varies wildly, and production-grade hosting (Inference Endpoints, GPU Spaces) gets expensive fast compared to raw cloud compute.

BentoML is a model-serving and inference platform that lets teams package, deploy, and scale AI/ML models across any cloud, on-prem, or Kubernetes environment, with both a free open-source serving framework and a managed Bento Inference Platform. It's built for ML engineering teams deploying custom or open-weight models (Llama, DeepSeek, Qwen, Flux, and others) into production who need control over infrastructure and cost, rather than teams just calling a hosted third-party API. The honest caveat: BentoML was acquired by Modular in February 2026, and while the company says it remains open source and is "doubling down on OSS," pricing and roadmap now run through Modular's platform, so it's worth confirming the current product direction before committing long-term.

Cohere is an enterprise AI company offering the Command family of language models plus Embed and Rerank models for search and retrieval, all deployable via API, VPC, or on-prem. It's aimed squarely at large organizations that need private, secure AI with control over data residency, not solo developers looking for the cheapest tokens. The honest caveat: Cohere's per-token API pricing is not the cheapest on the market, and its consumer-facing brand recognition lags OpenAI, Anthropic, and Google, so you're paying partly for enterprise polish and deployment flexibility.

GroqCloud is an inference platform built on Groq's custom LPU (Language Processing Unit) chips, offering extremely fast token generation and predictable per-token pricing for popular open models like Llama and GPT-OSS. It's aimed at developers who need low-latency inference at scale, such as real-time voice agents or high-throughput apps, rather than teams wanting the single smartest model available. The honest caveat: GroqCloud runs a curated set of open and licensed models rather than its own frontier model, so you're buying speed and cost efficiency, not a proprietary top-of-leaderboard model.

Haystack is deepset's open-source Python framework for building production-grade RAG pipelines, AI agents, and conversational AI systems, with transparent, composable pipelines that give developers full visibility into retrieval, reasoning, and tool-calling steps. It's aimed at engineering teams who want to avoid vendor lock-in and integrate freely across model providers (OpenAI, Anthropic, Mistral) and vector databases (Weaviate, Pinecone), rather than teams wanting a no-code solution. The honest caveat: Haystack itself has no listed pricing because it's free and open source — the paid options (Enterprise Support, AI Orchestration Platform) are separate deepset products you'd need to contact sales for, so budgeting for the managed route requires a conversation rather than a self-serve page.

LiteLLM is an open-source LLM gateway and OpenAI-compatible proxy that lets platform teams give developers unified access to 100+ models across providers like OpenAI, Azure, Bedrock, and GCP while centrally tracking spend, enforcing budgets, and load balancing across keys and teams. It's best suited for engineering teams standardizing internal LLM access rather than individual developers calling a single provider's API directly. The honest caveat: the core project is genuinely free and self-hosted, which is great for cost, but that also means you're responsible for hosting, scaling, and maintaining it yourself unless you pay for the enterprise offering.

LlamaIndex started as (and still ships) a widely used open-source framework for connecting LLMs to external data for RAG applications, and has since expanded into LlamaParse and LlamaCloud, a managed platform for VLM-powered document parsing and structured extraction from complex files like PDFs, tables, and handwriting. It suits developers building RAG or document-heavy AI pipelines who want either a free open-source toolkit or a managed parsing service so they don't have to build document ingestion themselves. The honest caveat: the company's homepage now leads heavily with the commercial LlamaParse/document-OCR pitch rather than the original OSS framework, so newcomers may need to dig a bit to find the free, self-hosted path.

Mistral AI is a French AI lab known for strong open-weight and commercial language models (Mistral Large, Mixtral, and others) plus Mistral Studio, its platform for building and deploying agents, workflows, and RAG pipelines with enterprise privacy controls. It suits developers and companies that want either cheap, capable API access or full data ownership via self-hosted/on-prem deployment. The honest caveat: Mistral's consumer chat app (Le Chat) and Studio platform are newer and less battle-tested than OpenAI's or Google's equivalents, and enterprise features can require a sales conversation rather than self-serve signup.

Portkey is an AI gateway and observability platform that sits between an application and its LLM providers, handling universal API routing, caching, guardrails, prompt management, and governance across models from any vendor. It's built for engineering teams running LLM features in production who need reliability, cost control, and compliance visibility, not for individuals experimenting with a single prompt. The honest caveat: the generous free tier caps out at 10,000 logs/month with only 3-day retention, so any team with real production traffic or audit requirements will need the $49/mo Production plan or higher.

PromptLayer is a prompt management and observability platform that lets teams version, test, track, and collaborate on prompts and agent executions across an LLM application. It's built for product and engineering teams shipping LLM features who need visibility into what prompts are running in production and how they're performing, rather than solo hobbyists running a single script. The honest caveat: the free tier is genuinely limited (2,500 monthly requests, one workspace), so any real team usage pushes you into the $49/mo Pro plan or higher fairly quickly.

Protect AI provides end-to-end AI/ML security, covering model scanning, AI posture management, red teaming, and runtime protection for organizations building and deploying machine learning models and AI agents. It's built for ML engineering and security teams at companies with active AI/ML development pipelines who need to catch malicious or vulnerable models before they reach production. The honest caveat: Protect AI was acquired by Palo Alto Networks in July 2025 and is being folded into Prisma AIRS, so its standalone product page still exists but new customers are effectively buying into Palo Alto's broader platform and roadmap, not an independent startup.

Snyk is a developer-first security platform that has expanded into an "AI Security Fabric," using AI (Snyk Code's DeepCode AI) to scan and auto-fix vulnerabilities in code, open-source dependencies, containers, and infrastructure-as-code, while also governing AI-generated code from tools like Claude Code, Cursor, and Codex. It's built for development and AppSec teams who want security checks inside the developer workflow rather than bolted on after the fact. The honest caveat: Snyk's per-contributing-developer pricing can get expensive fast for larger engineering orgs, and its AI-specific governance features are newer and less battle-tested than its long-standing SAST/SCA scanning.

Traceforce is an on-device security tool that watches what AI apps, coding agents (Cursor, Claude Code, Codex), and MCP connectors actually do on company laptops, traffic that browser- or network-based tools can't see. It blocks risky actions in real time and auto-patches known-vulnerable AI packages. It deploys through IT tools teams already run, like Jamf, JumpCloud, or NinjaOne.

Webflow is a visual website builder that outputs real, production HTML/CSS/JS instead of a locked-in proprietary format. It bundles a drag-and-drop Designer, a built-in CMS, hosting, and ecommerce into one platform, and as of 2026 layers AI tools on top for site generation, content, and optimization.

Nuphos is a DevOps workspace where AI agents get IAM-scoped permissions to inspect infrastructure, investigate incidents, and execute approved changes across AWS, GCP, Azure, Cloudflare, and Kubernetes, reachable via a native app or through Slack, Discord, and iMessage, with human approval gates and audit trails on every action.

Kane CLI is a free command-line tool from TestMu AI that turns plain-English test descriptions into real browser test runs. It drives an actual Chrome browser, verifies each step, and returns a deterministic pass or fail, built to work for human testers and AI coding agents (Claude Code, Cursor, Codex CLI, Gemini CLI) alike.

Sider Code is a feature inside the Sider browser extension (10M+ weekly users) that lets you type in plain English how you want a webpage to look or behave, then rewrites the page's live code to match. Changes are saved per site, can be toggled on or off, and can be exported to share with others. It launched on Product Hunt on September 1, 2026 as the newest addition alongside Sider's Chat and Claw features.

Bullet (codewithbullet.com) is a YC S26-backed coding agent built around three ideas: route simple tasks to faster models and escalate only when needed, search code precisely instead of loading a whole repo into context, and run independent steps in parallel. It's free to use and works with your own API key (OpenAI, Anthropic, etc.), available as a Mac/Linux desktop app and an npm CLI. It launched on Hacker News this week to 121 points and 89 comments.

TrustedRouter is a single OpenAI-compatible API that routes to more than 600 AI models from 90+ providers, built around a no prompt-or-output-logging guarantee backed by attested (independently verifiable) infrastructure rather than a policy promise alone.