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Opaline

Opaline
Launch Date: Sept. 25, 2026
Pricing: No Info
AI development tools, engineering analytics, coding agents, budget management, team collaboration

Opaline: The Analytics Platform for AI Coding Agents

Overview

Opaline is a specialized tool built to help engineering teams understand what happens when they use AI to write code. While many tools track standard developer activities like code commits or pull requests, Opaline focuses on the hidden world of AI coding agents. It works with tools like Claude Code and Codex to record every prompt, response, and command sent during a coding session. This allows teams to see exactly how AI agents work, spot problems, and learn from each other's successes.

Originally launched in early 2026 under the name Rudel, the product was rebranded to Opaline in mid-2026. It runs as a hosted service that teams can access online, while the part that collects data from their computers is open-source software.

Benefits

Opaline solves a major problem for teams using AI to build software. When developers use autonomous agents, the process involves thousands of lines of text and complex steps that are invisible to traditional monitoring tools. Opaline provides several key advantages:

  • Deep Visibility:Users can inspect the full timeline of every coding session. They can see every prompt and response, not just the final result. This helps engineers understand why a session failed or took too long.
  • Cost Control:The platform tracks how many tokens are used and estimates API spending. This helps teams prevent budget overruns by seeing exactly where their money goes.
  • Pattern Detection:Opaline identifies recurring issues across the team. It can spot repeated errors or inefficient ways of prompting the AI, allowing the whole team to fix them.
  • Team Learning:The tool enables junior developers to learn from senior developers. By reviewing successful sessions, new team members can adopt effective strategies quickly.
  • Frustration Detection:Advanced features scan transcripts for signs of struggle, such as phrases like "I misunderstood" or "That is my fault." This helps managers identify when an agent is having trouble.

Use Cases

Opaline is designed for engineering teams that rely heavily on AI coding agents. It fits into the workflow without slowing down the developer. Here is how it is typically used:

  • Debugging Failed Sessions:When an AI agent generates broken code, engineers can replay the session to see exactly which prompt caused the error. This saves hours of guessing.
  • Optimizing AI Workflows:Teams can analyze their data to find the best prompts and strategies. They can then share these "skills" with the rest of the organization.
  • Budget Management:Project managers can monitor estimated costs by individual team member or repository. This ensures no single project drains the AI budget.
  • Onboarding New Developers:Senior engineers can review their own successful sessions and share them with new hires. This accelerates the learning curve for everyone.

Pricing

Opaline offers a tiered pricing structure based on team size and feature needs. All paid plans are billed annually per member.

  • Free Plan:This costs $0 per month. It supports up to 3 members and allows for 50,000 agent runs per month. It includes org-level analytics and the deep session trace viewer. This is perfect for small teams testing the product.
  • Basic Plan:This costs $21 per month per member. It supports unlimited members and unlimited agent runs. It includes all features from the free plan plus priority support. This is ideal for growing teams.
  • Business Plan:This costs $42 per month per member. It includes everything in the Basic plan plus Advanced Session Intelligence. This tier adds automated insights, weekly reports, and pattern detection.
  • Enterprise Plan:This starts at $85 per month per member plus a $1,000 annual platform fee. It offers on-premise or self-hosted deployment, SAML/SCIM single sign-on, and 24/7 founder support. This is for large organizations with strict compliance needs.

Note: Costs are estimated based on public API pricing. If a team uses a flat subscription for AI tools, the figures represent the theoretical API cost rather than actual spend. There is no free trial for paid plans, but the free tier is generous for small teams.

Vibes

Opaline has received positive feedback for its ability to bring clarity to the chaotic world of AI coding. Users appreciate the zero-friction setup, which requires just one command to install. The comprehensive visibility into AI sessions is seen as a unique advantage that other tools lack.

However, there are some concerns. Users note that the tool currently only supports Claude Code and Codex, leaving out other popular agents like GitHub Copilot or Cursor. Privacy is also a consideration, as the tool uploads full session transcripts to a hosted service. While secret filtering is in place, it is described as best effort. Additionally, some users find the jump in price from the Basic to Business plan significant if they need advanced features.

Overall, the consensus is that Opaline is an essential infrastructure tool for teams deeply invested in AI coding agents. It turns invisible coding sessions into actionable data, helping teams optimize costs and reduce debugging time.

Additional Information

Opaline was originally launched in early 2026 under the name Rudel before being rebranded in mid-2026. The integration layer, which is the CLI tool, is open-source and MIT-licensed. However, following the rebrand, the web app and API code were removed from the public repository, so only the CLI remains open-source.

The platform is designed to be non-intrusive. Once configured, the CLI hooks into coding sessions automatically in the background. Data typically uploads within 30 to 90 seconds of a session completing. Offline sessions require a manual re-run of the CLI to upload the data.

Alternatives to Opaline include ccusage, a free local tool for tracking personal token spend, and Langfuse, an open-source platform focused on tracing LLM apps rather than coding agents specifically.

NOTE:

This content is either user submitted or generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral), based on automated research and analysis of public data sources from search engines like DuckDuckGo, Google Search, and SearXNG, and directly from the tool's own website and with minimal to no human editing/review. THEJO AI is not affiliated with or endorsed by the AI tools or services mentioned. This is provided for informational and reference purposes only, is not an endorsement or official advice, and may contain inaccuracies or biases. Please verify details with original sources.

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