Tenki Cloud: Cloud Infrastructure for Your Code and Agents
- Martin Swartz
- Aug 24
- 16 min read
Updated: 6 days ago
Status: Active | Last tested: 2026-08-24 (current cloud version) | Re-check: trigger-based (max 6 months)
Tenki Cloud
Tagline: "Cloud infrastructure for your code and agents"
Category: Infrastructure and DevOps, CI/CD, Agent Infrastructure
Primary use cases
Running AI coding agents in isolated disposable sandboxes that boot in under 2 seconds
Replacing GitHub-hosted runners with faster, cheaper CI/CD runners (up to 60% cost reduction)
Automating code review on GitHub pull requests with an AI reviewer tuned for agent-generated code
Provisioning ephemeral Linux VMs for testing and development with per-second billing
Pricing summary: Freemium. Starter plan includes $10 in free monthly credits, no credit card required. Usage-based billing: pay per second for sandbox compute, per minute for runners, $1.00 per code review. Committed-use discounts available for high-volume teams.
Architecture
SaaS (cloud-hosted). Three products: Sandbox (disposable Linux VMs), Runners (GitHub Actions-compatible CI/CD), Code Reviewer (AI-powered PR review). All run in SOC 2 and ISO 27001 certified data centers.
IAM model: Workspace-based access control. Parent company Luxor Technology operates under SOC 2 Type II. Ephemeral VMs destroyed after each CI job. GDPR alignment in progress.
Deployment targets: GitHub Actions workflows (Runners), AI agent execution environments (Sandbox via SDK or ADE), GitHub pull requests (Code Reviewer).
Parent company: Luxor Technology
Official links
Website: https://tenki.cloud
Pricing: https://tenki.cloud/pricing
Benchmark report: https://tenki.cloud/benchmarks/code-reviewer
Contact: hello@tenki.cloud
At a Glance
CI-First Benefit Score | 6.3 / 10 (CI-First Strong) |
Time / Quantity / Quality / Skill | 8 / 7 / 6 / 4 |
CI-First Profile | Analyst and Tester (4); Co-Worker and Assistant (2) |
Humics Protection | Humics-Neutral (0 / +3) |
AI Imposture Risk | Medium |
User Sentiment | Insufficient data (0 public reviews found as of August 2026) |
Pricing | Freemium; $10 free monthly credits; usage-based billing |
Platforms | Web; GitHub Actions; SDK or ADE |
Sandbox boot time | Under 2 seconds; no cold starts |
Code Reviewer recall | 0.689 (84 of 122 known issues) |
For detailed explanations of the CI-First evaluation terms used in this review, including CI-First Benefit Score, CI-First Profile, Humics Protection Badge, AI Imposture Risk, and User Sentiment, see the Glossary at the end of this publication.
The Problem
As AI agents write more code, teams face three infrastructure problems. First, agents need safe execution environments to write, run, and test code without touching production systems. Second, CI/CD costs balloon as teams run more pipelines, and GitHub-hosted runners are expensive and slow. Third, code review becomes a bottleneck when agents generate large volumes of pull requests that all need human review.
For DevOps and platform engineering teams, these problems compound. Agent-generated code needs isolated sandboxes to avoid damaging production. CI minutes on GitHub-hosted runners scale linearly with cost. And traditional code review cannot keep pace with the volume of AI-authored pull requests.
The Outcome
A team using Tenki Cloud gets three concrete outcomes. AI coding agents run in disposable Linux VMs that boot in under 2 seconds with root access, billed per second. CI/CD pipelines run on Tenki Runners instead of GitHub-hosted runners, with up to 60% cost reduction and 30% faster job completion. And an AI code reviewer analyzes pull requests automatically, catching bugs, security issues, and performance risks before a human reviewer touches them.
For a U365 IT Professional or platform engineer, this means a complete infrastructure layer for the agent era: sandbox for execution, runners for CI/CD, and reviewer for quality control. The Starter plan includes $10 in free monthly credits, so teams can evaluate all three products without a credit card.
Who Should Use Tenki Cloud
Learner categories
Students (Bachelor, Master) | Advanced | Exposure to real-world DevOps and agent infrastructure. Limited direct use unless running agents in coursework projects. |
Professionals | Core audience | DevOps engineers, SREs, platform engineers, and AI-native product teams who run coding agents or manage CI/CD at scale. |
Everyone | Niche | Only relevant if you work with GitHub Actions, AI coding agents, or infrastructure automation. |
U365 Institutes Alignment
UIT (Technology, AI, Data Science): High. Directly relevant for DevOps, SRE, platform engineering, and AI agent infrastructure courses.
UIB (Business Management, Entrepreneurship): Low. Relevant only for startup founders managing engineering costs.
UIC (Digital Communication, Marketing): Low. Not relevant for communication or marketing workflows.
UID (Digital Design, UX/UI): Low. Not relevant for design workflows.
Skill level required: Advanced. Requires understanding of CI/CD, GitHub Actions, and infrastructure concepts.
Prerequisites: GitHub account, familiarity with CI/CD pipelines, basic understanding of Linux and VMs. For Sandbox: SDK or API integration with agent workflows.
Typical time to first result: 5 minutes (create workspace, connect GitHub, run first CI job with $10 free credits).
Typical time to competence: 2 to 4 hours (configure runners, enable code reviewer, integrate sandbox with agent workflows).
How Tenki Cloud Works
Tenki Cloud is three products in one platform:
Tenki Sandbox: Disposable Linux VMs for AI coding agents. Each sandbox gives an agent an isolated cloud machine with root access to write, run, and test code. Sandboxes boot in under 2 seconds with no cold starts. You drive them through the SDK or the Agentic Development Environment (ADE). Billing is per second of compute used.
Tenki Runners: GitHub Actions-compatible runner platform. A 2-click migration tool switches from your current runner provider without touching existing workflows. Onboarding takes less than 2 minutes. Delivers up to 60% cheaper pricing and 30% faster job completion compared to GitHub-hosted runners. Full compatibility with existing GitHub Actions configurations.
Tenki Code Reviewer: AI-powered code review assistant for GitHub pull requests. Automatically analyzes code changes, identifies potential bugs, security issues, and performance risks, and provides contextual feedback directly inside GitHub. Pricing: $1.00 per review. In benchmarks on 50 PRs with 122 known findings, Tenki achieved the highest recall (0.689) among tested tools, catching 84 of 122 issues, though with lower precision (0.299) due to 197 false positives out of 289 total comments.
Inputs
Sandbox: SDK calls or ADE interface to provision VMs. Runners: GitHub Actions workflow configuration (YAML). Code Reviewer: GitHub pull request events.
Outputs
Sandbox: Running Linux VMs with root access. Runners: CI/CD job execution results. Code Reviewer: Inline code review comments on GitHub PRs with severity classifications.
Integrations
Currently integrates exclusively with GitHub. GitLab and Bitbucket support is on the roadmap. Contact hello@tenki.cloud for specific integration requests.
Security and compliance
SOC 2 Type II (parent company Luxor Technology). GDPR alignment in progress. Infrastructure runs in SOC 2 and ISO 27001 certified data centers. Every CI job runs in an ephemeral VM destroyed after completion.
Getting Started with Tenki Cloud
Required accounts
Tenki Cloud workspace. Starter plan includes $10 in free monthly credits, no credit card required. GitHub account for Runners and Code Reviewer integration.
Installation
Web-based platform at tenki.cloud. No local installation required. GitHub integration via OAuth or app installation.
First-time configuration
1. Create a Tenki workspace at tenki.cloud (receive $10 in free monthly credits)
2. Connect your GitHub account and select repositories
3. Configure Sandbox for agent workloads: set resource limits, time limits, and IAM boundaries
4. Swap CI runners to Tenki using the 2-click migration tool (preserves existing GitHub Actions workflows)
5. Enable Code Reviewer on selected repositories and define review policies
First 15 minutes checklist
☐ Create a Tenki workspace and verify your $10 free credits
☐ Connect GitHub and select one repository for testing
☐ Run one CI job on Tenki Runners and compare timing and cost to your previous runner
☐ Trigger the Code Reviewer on one pull request and review the inline comments
☐ (Optional) Provision a Sandbox VM via SDK and run a test script
Result: You have a working Tenki Cloud setup with at least one CI job running on Tenki Runners, one code review completed, and $10 in credits remaining for further exploration.
Real Workflows
Workflow 1: Safe Agent Coding Sandbox
Learner type: Professionals (DevOps, platform engineers, AI-native product teams)
CI-First benefit tags: Time, Quantity
Connects to: UIT Technology, DevOps specialization, AI agent infrastructure
Time estimate: 20 minutes (provision, run, verify, destroy)
What you do vs what the tool does
Step 1 | You do: Define the agent task and resource limits (CPU, RAM, time limit, IAM boundaries) |
Step 1 | Tool does: (Nothing yet) |
Step 2 | You do: Provision a Tenki Sandbox via SDK with the configured limits |
Step 2 | Tool does: Boots a disposable Linux VM in under 2 seconds with root access |
Step 3 | You do: Direct your AI coding agent to write and test code inside the sandbox |
Step 3 | Tool does: Provides isolated execution environment, billed per second |
Step 4 | You do: Inspect the agent output: review code, run tests, verify correctness |
Step 4 | Tool does: (Nothing, you verify) |
Step 5 | You do: Destroy the sandbox and extract only the verified artifacts |
Step 5 | Tool does: Destroys the ephemeral VM completely, no residual state |
Sample prompt (for the AI agent running inside the sandbox)
"You are a Python developer working in an isolated sandbox. Write a REST API endpoint using FastAPI that accepts a JSON payload with user data, validates it against a schema using Pydantic, and returns a formatted response. Include unit tests with pytest. Run the tests and report the results. Do not modify any files outside the /app directory."
Verification checklist
☐ Multi-Model Check: Run the same agent task in a second sandbox and compare outputs for consistency
☐ External Source: Run the agent-generated tests independently outside the sandbox to verify they pass
☐ Human Review: A human engineer inspects the agent-generated code before merging to any branch
☐ CI-First Test: Can you explain and defend every line of the agent-generated code without the tool? [Y/N]
Workflow 2: Cost-Optimized CI/CD Migration
Learner type: Professionals (DevOps, SRE, platform engineering teams)
CI-First benefit tags: Time, Quantity, Quality
Connects to: UIT Technology, DevOps specialization, infrastructure cost optimization
Time estimate: 30 minutes (migrate, run, compare, adjust)
What you do vs what the tool does
Step 1 | You do: Identify the GitHub repositories and workflows to migrate |
Step 1 | Tool does: (Nothing yet) |
Step 2 | You do: Use the 2-click migration tool to swap runners from your current provider to Tenki |
Step 2 | Tool does: Configures Tenki Runners as the execution backend, preserving existing workflow YAML |
Step 3 | You do: Trigger a representative CI job and monitor execution |
Step 3 | Tool does: Executes the job on Tenki Runners with per-minute billing |
Step 4 | You do: Compare execution time and cost against your previous runner provider |
Step 4 | Tool does: Provides execution metrics and billing data |
Step 5 | You do: Adjust concurrency settings and enable Code Reviewer on key repositories |
Step 5 | Tool does: Scales runner concurrency and begins automated PR review |
Sample prompt (for U.Copilot to design this workflow)
"Design a CI/CD migration plan from GitHub-hosted runners to Tenki Runners for a team with 20 repositories and 500 CI jobs per day. Include cost comparison, migration timeline, rollback plan, and verification steps. Connect the plan to our LIPS Digital Second Brain for tracking."
Verification checklist
☐ Multi-Model Check: Run the same CI job on both GitHub-hosted runners and Tenki Runners, compare build outputs
☐ External Source: Verify cost savings by comparing Tenki billing data to your previous GitHub Actions billing
☐ Human Review: Platform engineering lead reviews the migration results and approves full cutover
☐ CI-First Test: Can you explain the cost and performance difference without the Tenki dashboard? [Y/N]
Strengths, Limits, and AI Imposture Risk
Strengths
Time | Runners are 30% faster than GitHub-hosted runners. Sandbox boots in under 2 seconds with no cold starts. 2-minute onboarding with 2-click migration tool. |
Quantity | More CI throughput at lower cost (up to 60% cheaper). More agent sandboxes running in parallel. Per-second billing for sandbox means you pay only for actual compute used. |
Quality | Code Reviewer achieves highest recall (0.689) among tested tools, catching 84 of 122 known issues. Catches bugs, security issues, and performance risks automatically. |
Skill | Marginal. Primarily an infrastructure tool. Teaches DevOps and CI/CD patterns through hands-on configuration, but does not build fundamental engineering skills. |
Limits
Code Reviewer precision is low (0.299). Out of 289 total comments, 197 were false positives. Teams will spend time dismissing irrelevant comments, which reduces net time savings.
GitHub-only integration. Teams using GitLab or Bitbucket cannot use Tenki today. Roadmap includes other platforms but no timeline is published.
Requires strong DevOps maturity. Not a no-code tool. Configuration of sandbox resource limits, IAM boundaries, and review policies requires infrastructure knowledge.
New vendor with limited public track record. Parent company Luxor Technology provides SOC 2 Type II compliance, but Tenki itself is a relatively new product.
No public documentation site or help center found during research. Support is via email (hello@tenki.cloud) only.
AI Imposture Risk
Time Illusion | Low | Speed improvements are measurable and consistent: 30% faster jobs, sub-2-second sandbox boot. The 2-click migration tool reduces configuration overhead. Cost savings are verifiable through billing data. |
Quantity Illusion | Medium | Code Reviewer produces high volume of comments (289 in benchmark) but 197 were false positives. The high volume of review comments creates the appearance of thorough review, but teams must invest time filtering false positives. |
Skill Illusion | Medium | Teams may stop performing manual code review entirely, relying on the AI reviewer. The reviewer catches 84 of 122 issues, but misses 38. If teams treat approved PRs as fully reviewed without human eyes, critical issues can slip through. |
Overall Imposture Risk: Medium
U365 Co-Intelligence Rating
CI-First Profile
Primary profile: Analyst and Tester (4)
Secondary profile(s): Co-Worker and Assistant (2)
Collaboration Mode
Recommended mode: Centaur
Mode rationale: Clear division of labor. Tenki runs infrastructure (sandbox, runners, reviewer) and the human engineer makes merge decisions, sets IAM boundaries, and reviews flagged issues. The tool does not replace human judgment in code review or infrastructure configuration.
CI-First Benefit Score
Time | 8 | Runners 30% faster, sandbox <2s boot, automated review saves manual review time. Measurable and consistent across use cases. |
Quantity | 7 | More CI throughput at lower cost, more parallel agent sandboxes. Per-second billing maximizes resource efficiency. |
Quality | 6 | Code Reviewer catches most issues (84/122) but low precision (0.299) means significant false positive filtering. Quality benefit is real but requires human triage. |
Skill | 4 | Infrastructure tool. Teaches DevOps patterns through configuration, but does not build fundamental engineering or programming skills. |
CI-First Benefit Score: 6.3 / 10 (CI-First Strong)
Humics Protection Badge
Creativity | Neutral (0) | Infrastructure tool. Does not affect creative thinking either way. |
Critical Thinking | Neutral (0) | Code Reviewer could erode review skills if over-trusted, but also surfaces issues humans might miss. Balanced effect. |
Social Authenticity | Neutral (0) | Infrastructure tool. Does not affect interpersonal communication or authentic voice. |
Humics Protection Score: 0 / +3
Badge: Humics-Neutral
Superhuman Usage Guidance
When to invite this tool
Running AI coding agents in isolated sandboxes to protect production systems
Migrating CI/CD from GitHub-hosted runners to reduce cost and improve speed
Adding automated first-pass code review to catch bugs before human review
When to keep this tool out
Final merge decisions on critical code (the reviewer misses 38 of 122 issues)
Code review of security-critical changes (the reviewer caught only 2 of 4 critical issues)
Any task where you cannot verify the reviewer output against your own engineering judgment
U365 method integration
LIPS + CARE: Tenki Runners results and Code Reviewer comments can feed into the Collect and Review phases of CARE for infrastructure project tracking.
ULM + EVA: Supports the Career domain by improving engineering productivity and reducing infrastructure costs.
UP-Context: Infrastructure tool, not directly responsive to UP-Context prompting. Agent workflows inside sandboxes can use UP-Context.
SL-OS: Tenki integrates with GitHub, which connects to the SL-OS workflow via Microsoft 365 and Teams notifications.
UNOP: Not directly aligned with neuroscience-oriented pedagogy. Relevant for hands-on engineering practice (active learning through real infrastructure configuration).
Over-delegation warning: The most common over-delegation pattern is treating the Code Reviewer as a replacement for human review. Tenki catches 84 of 122 issues but misses 38, including 2 of 4 critical severity issues. If your team stops performing manual code review, critical bugs will reach production. The reviewer is an Analyst and Tester (Profile 4), not a replacement for human judgment. In the CI-First formula, if HI drops because engineers stop reviewing code, CI-First drops even if the tool stays the same. The Superhuman engineer who stops reviewing code becomes Sub-human.
What Users Say
Aggregate Rating Table
Trustpilot | No reviews found on Trustpilot. |
G2 | No reviews found on G2. |
Capterra | No reviews found on Capterra. |
Product Hunt | No reviews found on Product Hunt. |
No reviews found on Reddit. | |
Futurepedia | No reviews found on Futurepedia. |
FutureTools | No reviews found on FutureTools. |
Tenki Cloud is a new product from Luxor Technology. As of August 2026, no reviews were found on major review platforms (Trustpilot, G2, Capterra, Product Hunt, Reddit, Futurepedia, FutureTools). The product appears to be in early-stage market entry with limited public user feedback.
What Users Praise
No user reviews are available to aggregate. The product's own benchmark data and FAQ suggest the intended value propositions are cost savings (up to 60% cheaper runners), speed (30% faster, sub-2-second sandbox boot), and the combined Sandbox plus Runner plus Reviewer stack for agent-era infrastructure.
What Users Complain About
No user reviews are available to aggregate. Based on the benchmark data, a likely complaint is the Code Reviewer's low precision (0.299), which means approximately 2 in 3 review comments are false positives that require manual dismissal.
Sentiment Summary
Overall sentiment: Insufficient data (no public reviews found as of August 2026)
U365 Editorial Note
The absence of user reviews is consistent with the CI-First evaluation. Tenki Cloud is a new infrastructure product with measurable technical benchmarks but unproven market adoption. The CI-First Benefit Score of 6.3 (CI-First Strong) reflects the tool's clear infrastructure value, but the Medium Imposture Risk rating is validated by the low precision of the Code Reviewer: teams may experience the Quantity Illusion when facing 197 false positives out of 289 comments. U365 recommends evaluating Tenki with the $10 free monthly credits before committing to paid plans, and treating the Code Reviewer as a first-pass filter, not a final reviewer.
Comparison and Alternatives
GitHub Actions (GitHub-hosted runners) | Choose GitHub Actions if you want zero-configuration runners that work out of the box with no vendor dependency. | Choose Tenki if you want up to 60% cost reduction, 30% faster jobs, and per-minute billing without changing your workflow YAML. |
Self-hosted runners | Choose self-hosted runners if you have the infrastructure expertise to manage your own hardware and want maximum control. | Choose Tenki if you want managed runners without the operational overhead of maintaining your own hardware. |
CodeRabbit | Choose CodeRabbit if you want a dedicated code review tool with moderate recall (0.287) and similar precision (0.250). | Choose Tenki if you want higher recall (0.689 vs 0.287) and a combined infrastructure stack (Sandbox plus Runners plus Reviewer). |
E2B / Daytona (sandbox alternatives) | Choose E2B or Daytona if you want specialized sandbox-only solutions with broader platform support. | Choose Tenki if you want sandbox, runners, and code reviewer in one platform with GitHub-native integration. |
Where Tenki Cloud is clearly better
Tenki is better when you want a single platform that covers agent sandboxes, CI/CD runners, and code review. The benchmark data shows Tenki Code Reviewer has the highest recall (0.689) among tested tools (CodeRabbit, Copilot, Cursor, Devin, Graphite, Greptile), meaning it catches the most issues per PR. The 2-click migration tool and sub-2-minute onboarding make it the fastest runner migration path available.
Where Tenki Cloud is clearly worse
Tenki is worse when you need GitLab or Bitbucket support (GitHub only today), when you need high-precision code review (0.299 precision means many false positives), or when you need a mature support environment (no public documentation site, email-only support). The product is new with limited public track record compared to established alternatives like GitHub Actions or CodeRabbit.
Verdict and Next Steps
Who should adopt it: DevOps and platform engineering teams at SaaS companies, AI-native product teams running coding agents, and startups with heavy CI/CD usage who want to reduce costs. UIT-aligned professionals and advanced learners only.
When: When you are running AI coding agents and need isolated execution, or when your CI/CD costs on GitHub-hosted runners are growing faster than your team.
For what: Cost-optimized CI/CD, safe agent execution sandboxes, and first-pass automated code review on GitHub pull requests.
UP-Context prompt pack
1. You are a DevOps architect evaluating CI/CD runner alternatives for a team with 20 repositories and 500 CI jobs per day. Compare Tenki Runners to GitHub-hosted runners on cost, speed, and migration effort. Include a cost projection for 3 months and a rollback plan.
2. You are a platform engineer designing an agent infrastructure stack. Design a workflow where an AI coding agent writes code in a Tenki Sandbox, runs tests, creates a pull request, and the Tenki Code Reviewer provides first-pass review. Include IAM boundaries, time limits, and human review checkpoints.
3. You are a U365 Fellow in the UIT DevOps track. Create a learning plan to master Tenki Cloud over 2 weeks using the $10 free monthly credits. Include which features to test each day, what to measure, and how to document results in your LIPS Digital Second Brain.
Related U365 content
[Insert relevant U365 course link after confirming with academic team]
University 365: The Applied AI University
Become a Fellow at university-365.com
Stay the CEO of your AI workforce.
Co-Intelligence First. Always.
Glossary
CI-First Benefit Score
The CI-First Benefit Score averages verified gains in Time, Quantity, Quality, and Skill on a 0 to 10 scale. Tenki Cloud scores 6.3 out of 10: Time 8, Quantity 7, Quality 6, and Skill 4. This places it in the CI-First Strong band because it delivers measurable infrastructure speed and throughput gains, while skill development remains limited.
CI-First Profile
A CI-First Profile describes the role an AI system should play in human work. The five levels are: (level 1) Co-Creator and Thought Partner, (level 2) Co-Worker and Assistant, (level 3) Coach and Tutor, (level 4) Analyst and Tester, and (level 5) Challenger and Devil's Advocate. Lower level numbers indicate higher AI autonomy in the collaboration. Tenki Cloud's primary profile is Analyst and Tester (level 4), supported by Co-Worker and Assistant (level 2). It executes infrastructure tasks and flags code issues, while the human engineer retains responsibility for policies, verification, and merge decisions.
Humics Protection Badge
The Humics Protection Badge assesses how a tool affects Creativity, Critical Thinking, and Social Authenticity. Tenki Cloud is Humics-Neutral with a score of 0 out of +3. It neither directly strengthens nor erodes these human capacities when engineers keep code review and infrastructure judgment under human control.
AI Imposture Risk
AI Imposture Risk measures whether apparent gains in time, output volume, or skill can be mistaken for verified capability. Tenki Cloud has Medium risk. Its speed and cost gains are measurable, but the Code Reviewer's low precision and missed issues can create false confidence if teams treat automated comments as complete review.
User Sentiment
User Sentiment summarizes independent public ratings and recurring praise or complaints. Tenki Cloud has insufficient public sentiment data because no reviews were found on the seven checked platforms as of August 2026. Readers should therefore treat vendor benchmarks as evidence of technical performance, not evidence of broad market satisfaction.
U365's Recommendations to Learn More
Official learning resources
Tenki Cloud Documentation — Complete docs for Sandbox, Runners, and Code Reviewer
Sandbox Quickstart — Spin up disposable Linux VMs for AI agents via CLI or SDKs
Runners Quickstart — Set up Tenki Runners and run your first CI job in under 2 minutes
Code Reviewer Setup — Install the Tenki Reviewer GitHub App and get AI-powered PR analysis
Pricing — Per-minute billing for runners, sandbox, and code reviewer
Security & Isolation — Ephemeral per-job VMs, isolation model, SOC 2 Type II
Video tutorials and channels
Tenki on Uneed — In-depth review of Tenki runners: faster, cheaper CI/CD
Written tutorials and deep-dive articles
GitHub Actions Runner Showdown 2026 — Real pricing data comparing Tenki, WarpBuild, Blacksmith, and Namespace
Depot CI vs Tenki Agentic Runners — How Tenki solves agent CI speed without leaving GitHub Actions
Self-Hosted Runners in 2026: ARC, Security, Cost — When to choose managed runners over self-hosted infrastructure
Namespace Devboxes + Tenki Review Gate — Two-layer agent workflow: sandbox execution plus CI boundary review
Community and social
Tenki Cloud on GitHub — Organization profile, SDKs, and GitHub Apps
Tenki Cloud GitHub App — Install the Tenki integration for Runners and Code Reviewer
LuxorLabs on GitHub — Parent company engineering organization, SDKs and action repos
Tenki Cloud on LinkedIn — Company updates and engineering posts
Tenki Discord — Community support and discussion
Comments