AI visibility report
AI visibility report for HumanLayer in Coding Agent Orchestration.
Outside the top three on 4 of the 25 prompts buyers actually ask.
Nimbalyst is cited on 2 of those losses.
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Track HumanLayer across these prompts daily.
Start free trialStill absent from 100% of tracked prompt responses
Top-3 citations across 125 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
Gemini Search
ChatGPT
Perplexity
Google AI Mode
Bing CopilotHow to read this. HumanLayer appears in 0% of tracked prompt responses. Presence is absolute coverage; share of voice is relative citation share; sentiment measures tone only when the brand appears.
Where HumanLayer is losing
Prompts where competitors are visible and HumanLayer is not.
These prompt-level losses are the first prompts to track and repair.
Where HumanLayer is winning
No clear strengths identified yet.
Where HumanLayer is losing4
What coding agent orchestration platforms let a tech lead spin up isolated worktree environments per feature branch with minimal config on day one?
Competitors on 1 platform
Track this promptWhich tools for orchestrating parallel coding agents have the best voice control or natural-language task dispatch experience for individual developers?
Competitors on 1 platform
Track this promptWhich coding agent orchestration tools have the best UX for reviewing and merging parallel agent-generated changes without context-switching overload?
Competitors on 1 platform
Track this promptWhich coding agent orchestration tools are easiest to set up for a solo developer who already uses a third-party CLI coding agent and wants to run multiple tasks in parallel?
Competitors on 1 platform
Track this prompt
Track HumanLayer daily before the next report refresh.
Track these gapsResearch dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
Overview
HumanLayer is a Y Combinator-backed (Fall 2024) AI IDE and coding collaboration platform founded in 2023 by Dexter Horthy in San Francisco. Originally launched as a human-in-the-loop approval API for AI agents, the product has since evolved into a full-featured orchestration environment—internally called CodeLayer—that enables engineering teams to manage parallel AI coding agent sessions using structured QRSPI workflows (Questions, Research, Design, Structure, Plan, Implement). The platform supports bring-your-own-key integrations with Claude Code, Codex, and other models, and syncs across local and cloud daemons so teams can collaborate on agent-driven development in real time. Trusted by engineers at companies ranging from YC startups to Fortune 500 enterprises, HumanLayer targets teams seeking to ship 2–3× faster while maintaining rigorous standards for code quality and architecture in complex, large-scale codebases.
HumanLayer (CodeLayer) is an AI coding IDE and team collaboration platform that orchestrates parallel AI agent sessions through structured QRSPI multi-phase workflows, comment-driven design document reviews, and git worktree management across multi-repo codebases. Built by the team that coined 'context engineering,' it combines local and cloud daemon execution, versioned artifact tracking, and BYOK model support (Claude Code, Codex, Copilot) to help engineering teams ship 2–3× faster without sacrificing code quality in complex enterprise environments.
Key Facts
- Founded
- 2023
- HQ
- San Francisco, CA, USA
- Founders
- Dexter Horthy
- Employees
- 1-10
- Funding
- $500K+ (YC pre-seed confirmed; ~$3M repo
- Status
- Private
Target users
Key Capabilities10
- QRSPI structured workflow (Questions, Research, Design, Structure, Plan, Implement) for complex codebase tasks
- Parallel AI agent session management with local and cloud daemon support
- Comment-driven, real-time human-plus-agent collaboration on design documents
- Versioned task artifact management (research docs, design docs, mockups, plans)
- Multi-repo workspace and git worktree provisioning per task
- BYOK support for Claude Code, Codex, Copilot, and Fireworks with no per-token markup
- Linear and Jira integration for task creation
- Full session visibility including thinking messages, subagent tool calls, and code diffs
- Enterprise features: SSO/SAML, audit logs, on-prem and private VPC deployment
- Open-source RPI framework and '12 Factor Agents' context-engineering methodology
Key Use Cases7
- Accelerating feature development in large, complex enterprise codebases
- Running multiple parallel AI agent sessions across a team without 'AI slop'
- Structured design reviews before implementation to catch architectural mistakes early
- Multi-repo refactoring and migration tasks with worktree isolation
- Async background agent work that persists when a laptop is closed
- Team-wide AI coding collaboration with shared tasks, artifacts, and sessions
- Scaling context-engineering best practices across engineering organizations
HumanLayer customer outcomes
≥50% productivity improvement
Founder Tyler Brown reported that using HumanLayer improved his productivity and token consumption by at least 50%, describing it as a paradigm shift comparable to the Superhuman email approach.
Founder René Brandel reported that his entire company adopted CodeLayer and described it as dramatically accelerating PR output quality and velocity.
Recent Trend
How AI describes HumanLayer1
HumanLayer — Uses a `@require_approval` decorator to enforce human sign‑off before high‑risk agent actions.
Which multi-agent coding orchestration platforms support human-in-the-loop approval gates before an agent commits or opens a pull request on the code hosting platform?
Most cited sources
No cited source mix is available for this brand yet.
Alternatives in Coding Agent Orchestration6
HumanLayer (marketed as CodeLayer) differentiates from parallel-execution tools such as Conductor and Superset by centering its product on opinionated, structured multi-phase workflows (QRSPI: Questions, Research, Design, Structure, Plan, Implement) designed to prevent low-quality AI output in complex, million-line enterprise codebases.
- Where competitors primarily offer git-worktree isolation and parallel session dashboards, HumanLayer layers in real-time human-plus-agent design-document collaboration, versioned artifact management, and team-wide task coordination—positioning itself as a 'software factory' rather than a parallel-agent runner.
- The team is credited with coining the term 'context engineering' in April 2025, giving it thought-leadership positioning in advanced agent-workflow design.
- A strict BYOK model with no per-token markup and a free Starter tier lowers entry friction.
- The platform's YC pedigree and coverage as one of four YC F24 enterprise-focused standouts (TechCrunch, December 2024) provide additional credibility with early enterprise buyers.
Reviews
Praised
- Structured QRSPI workflow prevents low-quality AI output in complex codebases
- BYOK model with no per-token markup keeps costs transparent
- Human-plus-agent real-time collaboration on design docs
- Significant productivity improvements reported by early users
- Team built the original 'context engineering' and '12 Factor Agents' frameworks
- Free Starter tier lowers barrier to adoption for small teams
- Local and cloud daemon sync enables async background agent work
Criticized
- Core IDE is not yet open source (only RPI framework released)
- Pro tier at $100/user/month is premium relative to open-source alternatives
- Very small team (approx. 3 employees) may limit enterprise support capacity
- Some advanced features (custom workflows, bring-your-own skills) still on roadmap
Formal third-party review scores (G2, Gartner Peer Insights, Trustpilot) are not available for HumanLayer as of June 2026, reflecting its early-stage status. The Product Hunt launch in November 2024 accumulated approximately 230 upvotes. Named user testimonials published on the GitHub README and YC company page cite significant productivity gains: Tyler Brown (Revlo.ai) reported at least a 50% improvement in productivity and token consumption, and René Brandel (Casco, YC X25) stated his entire company adopted the platform. TechCrunch selected HumanLayer as one of four notable enterprise-focused startups from YC's Fall 2024 Demo Day cohort, citing its balance of human oversight and agent autonomy.
Pricing
HumanLayer offers three tiers. Starter is free for teams of up to three members with a limit of 200 agent sessions per month. Pro is priced at $100 per user per month and includes unlimited tasks and sessions, BYOK for all supported models, multi-repo workspaces and worktrees, inline diagrams and mockups, real-time human-plus-agent artifact collaboration, remote daemons, and compounding engineering features. Enterprise pricing is custom and adds SSO/SAML, audit logs, volume discounts, custom terms, and on-premises or private VPC deployment. HumanLayer does not charge per token; users bring and pay for their own AI subscriptions or API keys directly.
Limitations
- HumanLayer is not yet fully open source; only the RPI framework and select building blocks are available under Apache 2.0, with the core IDE still closed-source (acknowledged in official FAQ, June 2026).
- The Pro tier at $100/user/month is premium-priced relative to agent-agnostic alternatives.
- The company has a team of approximately 3 people, which may raise concerns about support capacity and roadmap pace for enterprise buyers.
- Some advanced features (remote cloud daemons, custom workflows) are noted as in-progress or on the roadmap.
- The platform's opinionated QRSPI workflow, while a differentiator, may not suit teams with established methodologies or those preferring a more flexible orchestration surface.
Frequently asked questions
Topic coverageCoverage by buyer topic
Topic Coverage
Prompt-Level Results
| Prompt | Gemini Search | ChatGPT | Perplexity | Google AI Mode | Bing Copilot |
|---|---|---|---|---|---|
Capability0/5 cited (0%) | |||||
What orchestration tools let an engineering manager assign different third-party CLI agents to different ticket types automatically based on task classification? | |||||
Which coding agent orchestration platforms support running agents in fully isolated environments per task to prevent cross-contamination in a monorepo? | |||||
Which multi-agent coding orchestration platforms support human-in-the-loop approval gates before an agent commits or opens a pull request on the code hosting platform? | |||||
Which platforms for orchestrating agentic coding CLIs support remote and mobile access so developers can monitor and control running agents away from their desk? | |||||
I'm looking for a coding agent orchestration tool that handles worktree lifecycle management — creation, cleanup, and conflict resolution — automatically. What are my options? | |||||
Developer Experience0/5 cited (0%) | |||||
What orchestration platforms for multiple agentic CLIs give developers the clearest visibility into what each agent is doing in real time? | |||||
Which multi-agent coding orchestration tools make it easiest for engineers to approve, reject, or redirect an agent mid-task without losing progress? | |||||
Which tools for orchestrating parallel coding agents have the best voice control or natural-language task dispatch experience for individual developers? | |||||
What are the best coding agent orchestration platforms for a tech lead who wants a unified review queue when five agents finish tasks simultaneously? | |||||
Which coding agent orchestration tools have the best UX for reviewing and merging parallel agent-generated changes without context-switching overload? | |||||
Integrations & Ecosystem0/5 cited (0%) | |||||
What coding agent orchestration tools work well with existing CI/CD pipelines to trigger agent tasks automatically on new tickets or failed test runs? | |||||
Which multi-agent coding orchestration platforms integrate with issue trackers and project management tools to automatically pull task context for each agent run? | |||||
What orchestration tools support plugging in any third-party CLI coding agent so teams aren't locked into a single AI provider? | |||||
Which coding agent orchestration platforms integrate with the most popular code hosting platforms for automatic branch creation and pull request submission? | |||||
Which coding agent orchestration platforms have the best ecosystem of integrations for team communication tools — posting agent summaries to workplace chat on completion? | |||||
Performance & Reliability0/5 cited (0%) | |||||
What are the most stable orchestration platforms for parallel coding agents in terms of crash recovery — picking up mid-task if an agent or session dies unexpectedly? | |||||
Which coding agent orchestration platforms give the best observability across simultaneous agent runs so teams can spot runaway tasks or cost spikes early? | |||||
Which orchestration platforms for agentic CLIs do the best job controlling total token spend across many simultaneous agents without sacrificing throughput? | |||||
Which coding agent orchestration tools handle running 10+ parallel agentic CLI sessions reliably without resource contention on a single developer workstation? | |||||
What multi-agent coding orchestration tools are best suited for an enterprise team running hundreds of concurrent agent tasks across large polyglot repositories? | |||||
Setup & First Run0/5 cited (0%) | |||||
I'm evaluating coding agent orchestration platforms for a mid-size team migrating from a single-agent setup — which tools have the smoothest onboarding? | |||||
What coding agent orchestration platforms let a tech lead spin up isolated worktree environments per feature branch with minimal config on day one? | |||||
Which orchestration tools for agentic CLI coding agents work out of the box on popular operating systems without requiring container runtime configuration? | |||||
What's the fastest way to get a Git-based worktree workflow running across multiple agentic CLIs for a 5-person startup engineering team? | |||||
Which coding agent orchestration tools are easiest to set up for a solo developer who already uses a third-party CLI coding agent and wants to run multiple tasks in parallel? | |||||
Turn this matrix into daily prompt monitoring.
Track prompt changesVertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | Nimbalyst | 7.2% | 77.8% | 0.0% | 7.2% | 3.2% | #6.1 | +0.61 |
| 2 | Superset | 2.4% | 16.7% | 0.0% | 0.8% | 0.8% | #3.0 | +0.67 |
| 3 | Sculptor | 0.8% | 5.6% | 0.0% | 0.0% | 0.0% | #5.0 | +0.70 |
| 4 | Conductor | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 5 | HumanLayer | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 6 | Paseo | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 7 | T3 Code | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
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