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Rank #13 of 13 in AI Coding Agents

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Slate

YC S24 Built-in AI assistant

Random Labs · commercial

randomlabs.ai ↗Try it →
PA Score15/100AGENT-READY20/100BUILT-IN AI51/100API0/100
MCP—CLI✓API—
no public signals
ArenasAI Coding Agents#13/13

Access

Open app ↗CLI docs ↗

Install

npmnpm i -g @randomlabs/slate

Compare head-to-head

Codex logovs CodexClaude Code logovs Claude CodeCursor logovs CursorGitHub Copilot logovs GitHub CopilotGemini CLI logovs Gemini CLIOpenCode logovs OpenCodeDevin logovs Devinvs AiderCline logovs Clinecubic logovs cubicGoogle Antigravity logovs Google AntigravityConductor logovs Conductor

Alternatives to Slate →

Try itExperimental

See what an agent can do with Slate before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; commands tagged live-capable can re-run against the real endpoint from our edge, right now (▶ run live — the exact same request, live and recorded lines always labeled); sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).

$curl -s https://docs.randomlabs.ai/en/getting-started/quickstart.md | head -8recorded session — replayed, not live
recorded 2026-09-14 · exit 0 · captured verbatim by our probe harness, secrets redacted · pure-HTTP probe — ▶ run live re-runs it from our edge

Verified integrations

No integration evidence found in our corpus for this product yet — that means none was found, never that it doesn’t integrate.

By theme — the product's score on each story themeBy theme

Agenticness — how well agents can access and operate the productAgenticnessevidence →

How well agents can access and operate the product

26.8/100

Automation depth — how much of the product can run unattendedAutomation depthevidence →

How much of the product can run unattended

9.0/100

Autonomy agents — stories about autonomy agents in this arenaAutonomy agentsevidence →

Stories about autonomy agents in this arena

12.0/100

Code generation — quality of generated code — correctness, style, fit to the codebaseCode generationevidence →

Quality of generated code — correctness, style, fit to the codebase

11.4/100

Codebase understanding — how deeply the tool maps your repo — cross-file context, architecture awareness, historyCodebase understandingevidence →

How deeply the tool maps your repo — cross-file context, architecture awareness, history

28.1/100

Ecosystem — integrations, plugins, and third-party ecosystem storiesEcosystemevidence →

Integrations, plugins, and third-party ecosystem stories

8.8/100

Ide terminal integration — meeting you in the IDE and terminal — extensions, inline flows, contextIde terminal integrationevidence →

Meeting you in the IDE and terminal — extensions, inline flows, context

36.3/100

Openness — open source, data portability, and self-hosting storiesOpennessevidence →

Open source, data portability, and self-hosting stories

0.0/100

Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limitsevidence →

Free-tier ceilings, usage caps, and rate limits before you have to pay

29.2/100

Privacy posture — data-handling and privacy storiesPrivacy postureevidence →

Data-handling and privacy stories

0.0/100

Review safety — keeping generated changes safe — diffs, approvals, guardrailsReview safetyevidence →

Keeping generated changes safe — diffs, approvals, guardrails

9.0/100

Story verdicts — every judged story with its evidenceStory verdicts

What’s free: 0 free · 1 paid · 0 enterprise · 25 not stated in evidence

?

Sorted by importance (agentic first) (high → low) · 74/74 stories · click a row’s chevron for the rationale and evidence

Delegate tasks to a built-in AI assistant inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full7/10X

Drive the product through a documented public API G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3none0/10

Connect an agent via an official MCP server G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3n/auntestednone yet

Plug MCP servers into this product so it can use their tools G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3noneuntestednone yet

Point an agent at llms.txt or agent-oriented docs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10T

Use an official CLI G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10T

Operate the product with natural-language commands G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full7/10C

Set up automations that run autonomously in the background G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial5/10C

Get AI-generated insights and suggestions from my data inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial4/10X

Build against official SDKs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Download a machine-readable API spec (OpenAPI or equivalent) G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Explore an interactive API reference with runnable examples G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/a0/10

Issue scoped/least-privilege API credentials for an agent G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Rely on versioned APIs with a documented deprecation policy G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Run the product headlessly / in CI for automation G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Subscribe to events via webhooks G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/auntestednone yet

Test against a sandbox environment without touching production data G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness1n/auntestednone yet

Run a coding agent locally from my terminal C

Terminal workflow

developerIde terminal integration — meeting you in the IDE and terminal — extensions, inline flows, contextIde terminal integration3full8/10T

Add a project instructions file to set coding standards and conventions the agent follows C

Context management

developerCodebase understanding — how deeply the tool maps your repo — cross-file context, architecture awareness, historyCodebase understanding3partial6/10C

Chat with the coding assistant directly inside my IDE for contextual help C

Ide integration

developerIde terminal integration — meeting you in the IDE and terminal — extensions, inline flows, contextIde terminal integration3partial6/10C

Have the agent map and explain an entire unfamiliar codebase without manually selecting context files C

Codebase mapping

developerCodebase understanding — how deeply the tool maps your repo — cross-file context, architecture awareness, historyCodebase understanding3partial6/10X

Describe a feature or bug in plain language and have the agent implement or fix it across multiple files C

Feature implementation

developerCode generation — quality of generated code — correctness, style, fit to the codebaseCode generation3disputed5/10D

Understand how a codebase fits together to find where to start making changes C

Codebase mapping

developerCodebase understanding — how deeply the tool maps your repo — cross-file context, architecture awareness, historyCodebase understanding3partial5/10C

Reproduce issues, narrow down root causes, and verify fixes C

Issue diagnosis

developerCodebase understanding — how deeply the tool maps your repo — cross-file context, architecture awareness, historyCodebase understanding3partial4/10C

Have the agent write tests, fix lint errors, resolve merge conflicts, and update dependencies for me C

Maintenance automation

developerCode generation — quality of generated code — correctness, style, fit to the codebaseCode generation3partial3/10X

Inspect diffs and run checks to catch problems before merging C

Pr review

developerReview safety — keeping generated changes safe — diffs, approvals, guardrailsReview safety3partial3/10C

Define rules that trigger actions automatically on events G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth3none0/10

Delegate longer-running coding tasks to run in the background in an isolated cloud environment C

Background execution

developerAutonomy agents — stories about autonomy agents in this arenaAutonomy agents3none0/10

Self-host the core product G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3none0/10

Connect the agent to workflow tools like Jira, Slack, and Google Drive to extend its context C

Tool integration

developerEcosystem — integrations, plugins, and third-party ecosystem storiesEcosystem3noneuntestednone yet

Export all of my data in open formats and leave G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3noneuntestednone yet

Get automatic code review with contextual feedback on every pull request C

Pr review

developerReview safety — keeping generated changes safe — diffs, approvals, guardrailsReview safety3n/auntestednone yet

Have the agent stage changes, write commit messages, create branches, and open pull requests C

Pr review

developerReview safety — keeping generated changes safe — diffs, approvals, guardrailsReview safety3noneuntestednone yet

Prevent my data from being used to train AI models G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture3noneuntestednone yet

Receive inline code completions and next-edit suggestions as I type C

Code completion

developerCode generation — quality of generated code — correctness, style, fit to the codebaseCode generation3n/auntestednone yet

Turn a tracked issue into a complete pull request end-to-end C

Feature implementation

developerCode generation — quality of generated code — correctness, style, fit to the codebaseCode generation3noneuntestednone yet

Manage multiple agent-driven coding sessions from one unified workspace C

Session management

engineering-leadIde terminal integration — meeting you in the IDE and terminal — extensions, inline flows, contextIde terminal integration2full8/10C

Sign in with my existing product subscription plan to use the coding agent C

Authentication

developerPricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits2fullpaid8/10C

Launch fleets of autonomous agents that work in parallel on different tasks for hours or days C

Parallel agents

ai-native userAutonomy agents — stories about autonomy agents in this arenaAutonomy agents2partial7/10X

Choose which underlying AI model powers my session from multiple providers C

Model choice

developerPricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits2partial6/10C

Control which external tools and integrations the agent is allowed to access C

Safe execution

engineering-leadReview safety — keeping generated changes safe — diffs, approvals, guardrailsReview safety2partial6/10C

Include multiple project directories in a single session for broader context C

Context management

developerCodebase understanding — how deeply the tool maps your repo — cross-file context, architecture awareness, historyCodebase understanding2partial6/10C

Perform bulk operations across many items at once G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2partial6/10C

Debug issues and troubleshoot using natural-language queries C

Debugging

developerCode generation — quality of generated code — correctness, style, fit to the codebaseCode generation2partial5/10C

Have a cloud agent build, test, and demo a feature end-to-end for my review C

Background execution

ai-native userAutonomy agents — stories about autonomy agents in this arenaAutonomy agents2disputed4/10D

Authenticate through an enterprise identity or cloud platform for compliance and scalability G

Authentication

engineering-leadPricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits2none0/10

Authenticate with an API key instead of an account login G

Authentication

developerPricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits2none0/10

Configure a reproducible cloud environment with the dependencies and setup steps my repository needs C

Background execution

developerAutonomy agents — stories about autonomy agents in this arenaAutonomy agents2none0/10

Do everything through the API that I can do in the UI G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2none0/10

Generate a working app from a sketch, image, or PDF design C

Multimodal generation

ai-native userCode generation — quality of generated code — correctness, style, fit to the codebaseCode generation2none0/10

Have the agent build and recall memory automatically across sessions C

Context management

developerCodebase understanding — how deeply the tool maps your repo — cross-file context, architecture awareness, historyCodebase understanding2none0/10

Have the agent operate inside a sandbox when interacting with code, tools, and network resources C

Safe execution

engineering-leadReview safety — keeping generated changes safe — diffs, approvals, guardrailsReview safety2none0/10

Opt out of telemetry and usage tracking G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2none0/10

Review diffs visually and run multiple sessions side by side in a desktop app C

Session management

developerIde terminal integration — meeting you in the IDE and terminal — extensions, inline flows, contextIde terminal integration2none0/10

Run the agent non-interactively in scripts for workflow automation C

Terminal workflow

developerIde terminal integration — meeting you in the IDE and terminal — extensions, inline flows, contextIde terminal integration2none0/10

Schedule recurring jobs or workflows G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2none0/10

Set up always-on agents that run on schedules or triggers to maintain and fix my software autonomously C

Scheduled automation

ai-native userAutonomy agents — stories about autonomy agents in this arenaAutonomy agents2none0/10

Start a task on one device and continue it later from another device or browser C

Cross device continuity

developerIde terminal integration — meeting you in the IDE and terminal — extensions, inline flows, contextIde terminal integration2none0/10

Choose where my data is stored (region/residency) G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Control data retention and deletion G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Get contextual explanations and automatic fixes for security vulnerabilities C

Security checks

developerReview safety — keeping generated changes safe — diffs, approvals, guardrailsReview safety2noneuntestednone yet

Kick off agent tasks directly from GitHub, GitLab, Linear, or Slack C

Tool integration

developerEcosystem — integrations, plugins, and third-party ecosystem storiesEcosystem2noneuntestednone yet

Read the product's source under an open license G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2noneuntestednone yet

Equip the agent with custom skills to perform specialized tasks C

Marketplace

developerEcosystem — integrations, plugins, and third-party ecosystem storiesEcosystem1full7/10C

Let the tool automatically pick the best model for each task C

Model choice

developerPricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits1partial6/10C

Run several task attempts in parallel and compare results before choosing one C

Parallel agents

developerAutonomy agents — stories about autonomy agents in this arenaAutonomy agents1partial6/10C

Sign in with a personal account to get free-tier access without managing API keys G

Authentication

developerPricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits1partial4/10C

Create a shared workspace from my docs and repos as a common source of truth for the team C

Team knowledge

engineering-leadEcosystem — integrations, plugins, and third-party ecosystem storiesEcosystem1none0/10

Integrate third-party partner-built agent apps into my workflows C

Marketplace

engineering-leadEcosystem — integrations, plugins, and third-party ecosystem storiesEcosystem1none0/10

Version, review, and roll back my automations G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth1none0/10

View interactive diffs and share selected code as context from within my JetBrains IDE C

Ide integration

developerIde terminal integration — meeting you in the IDE and terminal — extensions, inline flows, contextIde terminal integration1n/a0/10

Debug a live running web application directly from my coding assistant C

Debugging

developerCode generation — quality of generated code — correctness, style, fit to the codebaseCode generation1noneuntestednone yet

Opt out of having my code and prompts used for AI model training C

Data governance

engineering-leadReview safety — keeping generated changes safe — diffs, approvals, guardrailsReview safety1noneuntestednone yet

See license and public-code matching references for AI-suggested code C

Security checks

engineering-leadReview safety — keeping generated changes safe — diffs, approvals, guardrailsReview safety1noneuntestednone yet

Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 57 stories with headroom

What would move Slate’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.

  1. Agenticness — how well agents can access and operate the productPlug MCP servers into this product so it can use their tools

    nonemoves agent-readyimpact 45

    Missing: any documentation or claim about connecting/plugging in MCP servers, configuring MCP tool sources, or using MCP-provided tools.

  2. Agenticness — how well agents can access and operate the productDrive the product through a documented public API

    nonemoves agent-readyimpact 45

    Slate is documented as a CLI/terminal agent with configuration, skills, and hotkeys, but there is no evidence of a documented public API for programmatic/agentic access—the OpenAPI probe returned 404 across all candidate paths and no SDK or REST/API docs are mentioned anywhere in the pack.

  3. Review safety — keeping generated changes safe — diffs, approvals, guardrailsHave the agent stage changes, write commit messages, create branches, and open pull requests

    nonemoves PA Scoreimpact 30

    No evidence in the pack mentions git operations like staging, committing, branching, or opening pull requests; documentation covers sessions, orchestration, skills, permissions, and CLI setup but not any git/PR workflow.

  4. Automation depth — how much of the product can run unattendedDefine rules that trigger actions automatically on events

    nonemoves PA Scoreimpact 30

    Slate's docs describe agent rules for permissions/behavior ordering (docs-15, docs-20) and orchestration of parallel agents (docs-12, docs-13), but there is no evidence of user-defined rules that trigger actions automatically on external events (e.g., file changes, webhooks, schedule, git events).

  5. Autonomy agents — stories about autonomy agents in this arenaDelegate longer-running coding tasks to run in the background in an isolated cloud environment

    nonemoves PA Scoreimpact 30

    Slate's docs describe subagents running 'in the background' locally while you keep chatting and orchestration/parallelization of tasks, but there is no mention of an isolated cloud environment, remote execution sandbox, or delegation to a hosted service — everything described appears to run within the local CLI session.

  6. Ecosystem — integrations, plugins, and third-party ecosystem storiesConnect the agent to workflow tools like Jira, Slack, and Google Drive to extend its context

    nonemoves PA Scoreimpact 30

    No evidence anywhere in the docs pack mentions integrations with Jira, Slack, Google Drive, or any workflow tools/MCP connectors; the docs focus on CLI usage, sessions, skills, and permissions with no mention of external tool connectivity.

  7. Code generation — quality of generated code — correctness, style, fit to the codebaseTurn a tracked issue into a complete pull request end-to-end

    nonemoves PA Scoreimpact 30

    The evidence pack covers Slate's session management, orchestration, skills, and permissions but contains no mention of issue-tracker integration (e.g., GitHub issues) or automated pull-request creation/submission.

  8. Openness — open source, data portability, and self-hosting storiesExport all of my data in open formats and leave

    nonemoves PA Scoreimpact 30

    Missing: any documentation of export commands, data format specifications, or account/data portability guarantees.

Showing the top 8 of 57 — every none/partial verdict in the story verdicts table is headroom.

Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.

Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map3 surfaces · 28 covered stories

Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.

En docs27 stories

Hacker News7 stories

llms.txt1 story

Probe proofs — replayable recordings from the probe harnessProbe proofs

Replayable recordings from our probe harness — see the Prove-It protocol to submit one.

$curl -s https://docs.randomlabs.ai/en/getting-started/quickstart.md | head -8reproduced
$ curl -s https://docs.randomlabs.ai/en/getting-started/quickstart.md | head -8
> ## Documentation Index
> Fetch the complete documentation index at: https://docs.randomlabs.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Quickstart

> Set up Slate and work on your first task.
proves: Point an agent at llms.txt or agent-oriented docsrecorded 2026-09-14
$curl -s https://docs.randomlabs.ai/llms.txt | head -4reproduced
$ curl -s https://docs.randomlabs.ai/llms.txt | head -4
# Slate

## Docs
proves: Point an agent at llms.txt or agent-oriented docsrecorded 2026-09-14
$curl -s https://registry.npmjs.org/@randomlabs/slate/latest | head -c 400reproduced
$ curl -s https://registry.npmjs.org/@randomlabs/slate/latest | head -c 400
{"bin":{"slate":"bin/slate"},"bugs":{"url":"https://github.com/entropy-research/randomlabs/issues"},"dist":{"shasum":"78f03550f13a8be0558019ca5cf715fe2ed240bc","tarball":"https://registry.npmjs.org/@randomlabs/slate/-/slate-1.0.45.tgz","fileCount":4,"integrity":"sha512-ecG0DxBMrKWlamdbz4AscmD0B+sySCwfxLEcCL5IZskqI4INVRmNu7tN2llxn5jmHxWjQAOFS2lUwad+7ltT7g==","signatures":[{"sig":"MEUCIFOnF+p5Ebt5B6
proves: Use an official CLIrecorded 2026-09-14

Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence

6 of 15 testable claims verified · 0 contradicted → integrity 40/100

24 distinct capability claims found in Slate’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.

6

Verified

9

Unverified

0

Contradicted

11

Undersold

Verified (9)
Unverified (13)
Undersold (11)
Claims outside our story set (4)

Real capability claims found in Slate’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.

  • “Slate can sustain long, multi-hour interactive sessions with the user”

    source ↗

  • “Pressing Tab queues a message to run automatically after the current turn finishes”

    source ↗

  • “You can reference specific files in a message using @filename syntax”

    source ↗

  • “Bug reports automatically include diagnostic info like OS, version, and session context”

    source ↗
Suggest a story for these →

Business model

credits

Sign in with Random Labs; bring your own ChatGPT/Codex or SuperGrok subscription for models, or pay with Slate credits billed through the dashboard.

pricing ↗

Score trend

How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.

PA Scoretracked since Sep 15 '26 — no movement recorded yet
Agent-readytracked since Sep 15 '26 — no movement recorded yet

Try Experimental

Run it in the microterminal →

Recorded agent sessions — and a live MCP handshake where the vendor ships one.

Flag

⚑ Flag a verdict

Think a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.

Badge

Embed this product's score badge →

Hotlinked SVG — always shows the live current score.

For agents

This page as markdown/llms.txt

Data

Evidence (JSON)Verdicts (JSON)