korekt.ai valid
Korekt AI
Full documentation: https://korekt.ai/llms-full.txt
- Authority
- 45 reach 0 · trust 5 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://korekt.ai/llms.txt
- llms-full.txt
- https://korekt.ai/llms-full.txt
- Sections
- 7
- Links
- 16
- Size
- 5546 bytes
- Country
- United States Hosting inference
- Hosting country
- United States Hosting inference
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-26T05:45:26.393Z
- Last checked
- 2026-10-26T05:45:28.981Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-26T05:45:26.402Z. Cached copy · Source on korekt.ai
# Korekt AI
> Full documentation: https://korekt.ai/llms-full.txt
Last updated: 2026-04-06
> AI-powered code review platform that checks whether pull requests deliver what the ticket asked for. Automated ticket compliance verification, inline PR comments with suggested fixes, severity ratings, and commit statuses for merge gating. Works with GitHub, Bitbucket, Azure DevOps, Jira, and Azure Boards.
## Product
Korekt AI automatically reviews every pull request and verifies that code changes satisfy the linked ticket requirements. Each user story and acceptance criterion is individually checked with Fully Implemented / Partial / Not Met status, with evidence linking to specific files and lines. Language-agnostic — works with any programming language because it uses AI to analyze logic and requirements, not a static linter.
The platform posts findings directly on pull requests as inline comments with suggested fixes, sets commit statuses for merge gating, and tracks issue resolution across review iterations — when a PR is updated after review, the next review shows which issues were fixed and which are still open.
Ticket compliance works across platforms — GitHub Issues (zero config), Jira Cloud, and Azure Boards. You can review GitHub PRs and check compliance against Jira tickets.
Teams can define custom review rules with severity, category, reasoning, and examples that the AI enforces on every review.
The dashboard provides sprint insights with work profile analysis (Feature/Fix/Improve/Maintain/Operate mix), stale PR detection, team analytics with contributor profiles, and identity resolution across VCS providers.
Powered by Google Gemini AI. Code is never stored or used for model training.
## Getting Started
1. Install Korekt AI from the [GitHub Marketplace](https://github.com/marketplace/korekt-ai), Atlassian Marketplace ([Bitbucket](https://marketplace.atlassian.com/apps/3664697542/korekt-ai-for-bitbucket), [Jira](https://marketplace.atlassian.com/apps/3388939550/korekt-ai-for-jira)), or [Visual Studio Marketplace](https://marketplace.visualstudio.com/items?itemName=korekt-ai.korekt-ai) (Azure DevOps). A free trial with $5 AI credits is auto-provisioned — no credit card or registration needed.
2. Connect your ticketing system (Jira Cloud or Azure Boards) for ticket compliance verification. GitHub Issues work with zero configuration.
3. Open a pull request — Korekt automatically reviews it, posts inline comments with suggested fixes, sets a commit status, and checks whether the code satisfies the linked ticket requirements.
For CLI usage: `npm install -g korekt-cli`, then `kk review main` to review your branch locally.
## Pricing
- Free trial: $5 AI credits, no credit card required
- Plans start at $24/dev/month
- [Pricing page](https://korekt.ai/pricing)
## Integrations
- [Korekt AI for GitHub](https://korekt.ai/docs/github): GitHub App with native OAuth, automated PR reviews, inline comments, commit statuses. No PAT needed.
-
…Related sites
Category suggestions: other listed sites in AI and machine learning. These share a category. See the whole category →
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | — | 61 | ✓ | ||
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| aiteamguide.com | AITeamGuide | documentation AI and machine learning Marketing +4 | — | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface AI and machine learning Infrastructure +1 | — | 85 | ✓ | ✓ | |
| adobe.com | Adobe Tools | transactional AI and machine learning Productivity +1 | FR | 75 | ✓ | ||
| intel.com | Intel Corporation | documentation Industry and manufacturing Consumer electronics +1 | US | 74 | ✓ | ✓ | |
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ | ||
| taboola.com | Taboola.com | documentation AI and machine learning Marketing | — | 74 | ✓ | ✓ |
Machine-readable: GET /v1/resolve?q=korekt.ai · GET /v1/domain/korekt.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain
Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.
Own or manage this website?
If you own or manage korekt.ai, you can update its listing and review file health, discovery activity and score history.
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Review your indexed topics, nearby publishers sharing headings, measured listing exposure and map snapshots in a private report for your website.
- Control what agents see
Edit your listing description, tags, public contact details and additional llms.txt paths. Publish your terms for automated access, attribution and pricing.
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- Appear in our llms-full.txt
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Let your coding agent verify it
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Claim my listing on Agent Web Map for korekt.ai:
1. POST https://agentwebmap.com/v1/sites/korekt.ai/claims and keep claim_id and claim_secret private.
2. Publish the verification line "AgentWebMap verification: <token>" (token from step 1) in https://korekt.ai/llms.txt, or use the DNS, meta-tag or well-known method the response describes. This only verifies the listing; your website and domain remain yours.
3. POST https://agentwebmap.com/v1/sites/korekt.ai/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/korekt.ai).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verifyCorrections or removal requests: contact the directory.