# Aide Dev vs RunLLM

Aide Dev records 5,079 monthly visits with -1.9% month-over-month growth and Paid pricing. RunLLM records 182 monthly visits with -90.6% growth and Free Trial, Contact for Pricing pricing.

| Metric | [Aide Dev](https://openaitools.app/tool/aide-dev) | [RunLLM](https://openaitools.app/tool/runllm) |
| :--- | :--- | :--- |
| Website URL | https://aide.dev | https://www.runllm.com |
| Categories | AI Code Assistant, AI Agent, AI Code Review, AI GitHub | AI Agent, AI Customer Service, AI Assistant, AI Code Assistant |
| Pricing Model | Paid | Free Trial, Contact for Pricing |
| Monthly Visits | 5,079 | 182 |
| MoM Growth Rate | -1.9% | -90.6% |
| Primary Market | United States | Global |
| Direct Visits | 2,017 | 71 |
| Review Score | 4.5 | 4.4 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## Aide Dev

Aide Dev positions itself as a developer tools lab rather than a conventional SaaS product. The team publishes research and engineering notes about building agents for software engineering tasks — resolving GitHub issues, navigating large codebases and maintaining code over time — with a particular emphasis on inference-time scaling: giving agentic systems more compute to think and verify before they commit to a change. In a widely read post, the lab described resolving 62.2% of issues on SWE-bench Verified by scaling test-time inference, and framed the result as a return to the "bitter lesson" that general methods which leverage computation tend to win.

The site is deliberately minimal: a short product statement, a blog of technical writing, and a footer. It is best understood as a research-forward toolmaker for engineers who want to follow how agentic coding systems are actually built and evaluated, rather than as a plug-and-play app with a signup funnel. If you are evaluating Aide as a coding assistant, treat the blog as the primary artifact — it is where the claims, methods and benchmark numbers live.

Because the .dev property presents itself as an ongoing lab, details such as commercial plans or enterprise offerings should be confirmed directly with the team. Visitors should read the current site rather than rely on cached descriptions.

**Pricing & Plans:** No public pricing tiers are advertised on the site. aide.dev presents itself as a developer tools lab with research writing; commercial terms are not listed publicly, so check with the team.

- **Inference-time scaling:** Agents invest additional compute at test time to reason, explore and verify before producing a fix, rather than relying only on a single forward pass.
- **Software engineering agents:** Systems aimed at real repository work: locating the relevant code, understanding intent and producing changes that address an issue.
- **Public benchmark results:** The team publishes measured outcomes, including a reported 62.2% resolve rate on SWE-bench Verified.
- **Technical blog:** Regular engineering notes covering agent architecture, evaluation methodology and lessons learned from building coding systems.
- **Developer-first framing:** Writing and results are oriented to engineers who want to understand how agentic coding tools work under the hood.

**Strengths:** Publishes concrete benchmark numbers rather than vague marketing claims; Focus on inference-time scaling addresses a genuinely hard part of agentic coding; Writing is aimed at engineers, with methodology discussed openly; Minimal, fast-loading site with no aggressive signup funnel

**Limitations:** Limited product information — commercial plans and onboarding are not documented on the site; Not a self-serve tool you can sign up for and use immediately

[Profile (Markdown)](https://openaitools.app/tool/aide-dev.md)

## RunLLM

RunLLM, now operating under the Herald brand, has evolved from an enterprise technical-support assistant into what it calls an AI SRE: an agent that catches production issues before engineers are even paged. The pitch is that traditional observability is broken — you have to instrument every data stream, tune alert thresholds, and write runbooks for each failure mode, and anything nobody documented stays invisible.

Herald takes a different approach. Before any alerts fire, it builds a context graph spanning your observability, codebase, CI/CD, documentation, and dependencies, so it learns what normal looks like. It then builds a custom anomaly detection model for each data stream — no thresholds to set — and surfaces validated signals before customers notice. When something looks wrong, the agent evaluates multiple hypotheses simultaneously against the right data sources and hands engineers a root-cause analysis in minutes, no runbook required.

The company reports 100% RCA accuracy on known issues and over 70% on novel incidents for one of the world's biggest B2B2C platforms, and notes that the agent learns from every investigation so it never makes the same mistake twice. Herald was founded by PhDs and professors from UC Berkeley's RISELab, combining expertise in AI, LLMs, data systems, and scalable infrastructure.

**Pricing & Plans:** Free trial with demos available; enterprise pricing is quoted on request via sales contact. Check the site's pricing and demo pages for current details.

- **Context-aware learning:** Herald builds a context graph across observability, codebase, CI/CD, docs, and dependencies before alerts fire, so it understands what normal looks like.
- **Predictive detection:** No thresholds to tune: Herald builds a custom anomaly detection model for each data stream and surfaces validated issues before customers notice.
- **Automated investigation:** The agent evaluates multiple hypotheses at once against the right data sources and delivers root-cause analyses in minutes without runbooks.
- **Grounded in production:** 100% RCA accuracy on known issues and 70%+ on novel incidents, learning from every investigation so it never repeats a mistake.
- **Fast onboarding:** Scans your codebase, finds the tools you use, and configures itself in minutes, adapting quickly to your stack.

**Strengths:** Detects and investigates issues before alerts fire; No thresholds or runbooks to author and maintain; Correlates signals across code, infra, and telemetry; Built by UC Berkeley RISELab researchers

[Profile (Markdown)](https://openaitools.app/tool/runllm.md)

## Frequently Asked Questions

### How do Aide Dev and RunLLM compare in monthly traffic?

Aide Dev has 5,079 monthly visits, while RunLLM has 182. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Aide Dev has a month-over-month growth rate of -1.9%; RunLLM has -90.6%.

### How does pricing compare?

Aide Dev: Paid. No public pricing tiers are advertised on the site. aide.dev presents itself as a developer tools lab with research writing; commercial terms are not listed publicly, so check with the team. RunLLM: Free Trial, Contact for Pricing. Free trial with demos available; enterprise pricing is quoted on request via sales contact. Check the site's pricing and demo pages for current details.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Google's agent-first development platform for building and shipping software with AI agents | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 3 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Describe your idea and Replit builds a working app in minutes | [.md](https://openaitools.app/tool/replit.md) |
| 4 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | A spec-driven AI IDE and agent platform that plans, builds, reviews, and verifies real engineering work. | [.md](https://openaitools.app/tool/kiro.md) |
| 5 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Cognition's autonomous software engineer that ships real pull requests | [.md](https://openaitools.app/tool/devin.md) |
| 6 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 7 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) |
| 8 | [Aikido Security](https://openaitools.app/tool/aikido-security) | 757,491 | +9.6% | Freemium | All-in-one AppSec platform that finds and auto-fixes vulnerabilities | [.md](https://openaitools.app/tool/aikido-security.md) |
| 9 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | An AI IDE and coding agent that works on your project, not just your cursor | [.md](https://openaitools.app/tool/trae.md) |
| 10 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | Agent orchestration platform for your whole software development lifecycle | [.md](https://openaitools.app/tool/augment-code.md) |

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Source: https://openaitools.app/compare/aide-dev-vs-runllm

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