agent · ai-coding-agents

Warp AI

Agentic software development platform. Agents are triggered by an issue, a chat message or a schedule and coordinated from triage through review to a mergeable pull request, with a screenshot or video captured per run so work can be verified before a PR ships. Runs on Warp's cloud or fully self-hosted in the customer's own VPC, and is model-agnostic: customers bring their own model or harness. Exposed as a platform via API, CLI, SDK and MCP. Pricing is usage-based per agent run. The vendor claims over 800,000 developers and states that most organisations start with 20-30% of pull requests fully automated. Its terminal product is open source. No certification, regulatory alignment, insurance or indemnity is published on the page checked.

warp.devevidence retrieved Sep 10, 2026view as JSON all ai-coding-agents entries 28 alternatives

Reviewed12 or more fields evidenced, and scored by a human against the published rubric

28 fields evidenced · 27 with no public information. Every value below links to the document it came from and the date we checked it.

1 of those is flagged for review: our own check found language in the cited source that may address the field. An editor has not adjudicated it yet.

Also appears in

AI agents that support the Model Context Protocol Open-source AI agents Self-hosted and on-premise AI agents

Trust gap

How this is scored

Runtime governance

1/3

Are scope, spend, and authority enforced while the agent runs?

Guardrails, centrally configured agent access and centrally managed permissions are advertised, but the page publishes no scope, spend or authority limit actually enforced at run time. Controls described, enforcement not evidenced.

Our automated recount on Sep 14, 2026 counted enough evidenced fields for 2/3. It never reads what those fields say, so it does not overturn the score above, judged on Sep 16, 2026 — but where the two disagree it is a reason to read this dimension again. Why there are two scores

How this gap gets closed →

Audit trail

2/3

Is there a tamper-evident record of what it actually did?

Every factory agent captures a screenshot or video of its run, reviewable by the customer before a PR ships. A real customer-reviewable record, but nothing tamper-evident or hash-chained is published.

Our automated recount on Sep 14, 2026 counted enough evidenced fields for 1/3. It never reads what those fields say, so it does not overturn the score above, judged on Sep 16, 2026 — but where the two disagree it is a reason to read this dimension again. Why there are two scores

Compliance

0/3

Are compliance obligations attached per engagement?

No public evidence found: compliance_certs and regulatory_alignment are both no_public_information on the page checked. No certification, audit report or regulatory framework is named.

How this gap gets closed →

Outcome settlement

0/3

Does payment depend on a verified result?

No public evidence found: pricing is usage-based per agent run. Payment is not tied to a verified outcome and no settlement mechanism is published.

How this gap gets closed →

Insurance & indemnity

0/3

Can the deployment be insured, and is the customer indemnified?

No public evidence found: no carrier, no cover, no published limit and no customer indemnity appear on the page checked.

How this gap gets closed →

Assurance

Insurance available: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
Insurance carriers: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
Coverage limits: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
Indemnification: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
Liability cap: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
Audit trail: Each agent run captures a screenshot or video recording, giving a reviewable record before a PR ships.
“every factory agent captures a screenshot or video so you can verify its work before shipping a PR.”
warp.dev · checked Sep 10, 2026
Tamper-evident log: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
Explainability: A worked example shows the agent narrating a root-cause fix and opening a PR, illustrating that its actions come with a stated rationale rather than being opaque.
“Found it — the testimonials section was hidden by collapsing divs. Patched, PR #436 is up for review.”
warp.dev · checked Sep 10, 2026
Runtime governance: Positions itself around giving customers continuous governance and security controls over their coding agents by default.
“Control your coding agent chaos continuous improvement, better governance and security, by default.”
warp.dev · checked Sep 10, 2026
Permission scopes: Access controls are centrally configured and centrally managed at the org level.
“Run agents confidently with guardrails in place, centrally configured agent access, and centrally managed permissions.”
warp.dev · checked Sep 10, 2026
Compliance certifications: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
Regulatory alignment: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
Outcome-based pricing: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
Settlement mechanism: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
Dispute process: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
SLA terms: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
Evaluation coverage: States that evaluation and benchmarking are built-in, core features rather than an add-on.
“evals, benchmarks, and self-improvement built in.”
warp.dev · checked Sep 10, 2026

Agency

Autonomy level: States most organizations start with 20-30% of pull requests fully automated, rising over time as the system self-improves — i.e. partial rather than full autonomy initially.
“most orgs start around 20-30% of PRs fully automated, starting with simple tasks. over time this goes up as models improve and your factory self-improves.”
warp.dev · checked Sep 10, 2026
Human oversight: Lets a human watch, steer, or take over an agent run from any surface (web, mobile, terminal, or IDE).
“any surface watch, steer, and hand off runs from web, mobile, terminal, or IDE.”
warp.dev · checked Sep 10, 2026
Goal complexity: Positions its scope broadly as automating the entire software development lifecycle, beyond just CI/CD, at scale.
“Beyond CI/CD to automating the whole SDLC defined in code, built for scale, and easy to deploy.”
warp.dev · checked Sep 10, 2026
Action space: Agents are triggered by an issue, chat message or schedule and carry work through triage, review, and up to a mergeable pull request.
“a fleet of agents wired to your SDLC — triggered by an issue, a slack message, or a schedule, and coordinated by warp factories from triage through review to a mergeable PR.”
warp.dev · checked Sep 10, 2026
Operating environment: Marketed as an agentic development platform meant to work across wherever and however a developer works.
“Warp is an open agentic development platform that was built to work wherever and however you work.”
warp.dev · checked Sep 10, 2026
Initiative: Agents proactively pull a human back in mid-run when they get stuck, rather than only waiting to be asked.
“the factory agents loop you in proactively when they need help.”
warp.dev · checked Sep 10, 2026

Safety

Safety evaluations: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
Red teaming: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
Safety policy: Advertises guardrails, centralized agent-access configuration, and centrally managed permissions as enterprise controls.
“Run agents confidently with guardrails in place, centrally configured agent access, and centrally managed permissions.”
warp.dev · checked Sep 10, 2026
Usage restrictions: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
Model or system card: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
Incident reporting: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
Third-party evaluations: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
Data handling: Data can be stored in Warp's cloud or fully self-hosted in the customer's own VPC, under the customer's existing retention/compliance rules.
“wherever you choose — warp's cloud, or fully self-hosted inside your own VPC, under your existing retention and compliance rules.”
warp.dev · checked Sep 10, 2026

Practicality

Pricing model: Priced on a usage basis per agent run, with $10k of free usage offered to qualifying orgs during closed early access.
“usage-based, priced per agent run. qualifying orgs get $10k of factory usage during closed early access.”
warp.dev · checked Sep 10, 2026
Price point: Offers up to $10,000 of free usage credit for qualifying organizations during early access.
“get up to $10,000 in free factory usage”
warp.dev · checked Sep 10, 2026
Availability: no public information
Flagged for review — the source below contains language that may address this field. Not yet checked by an editor. How we check absences
warp.dev · checked Sep 10, 2026
Deployment options: Runs either on Warp's own hosted cloud or fully self-hosted inside the customer's own VPC.
“warp cloud self-hosted warp's cloud, or self-hosted in your own VPC.”
warp.dev · checked Sep 10, 2026
Integrations: Work enters the system from chat apps, ticketing tools and source control, with status reported back to the same origin.
“integrations work flows in from chat, tickets, and source control; status flows back to where it started.”
warp.dev · checked Sep 10, 2026
Supported regions: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
Support model: no public information
warp.dev · checked Sep 10, 2026 · source did not state this

Foundation models

Base models: Its own benchmark table names specific models it runs and compares, including Claude Fable 5, GPT-5.6 Sol, and Gemini 3.6 Flash.
“best 1.00x Claude Fable 5 pass 1.00x $0.53 GPT-5.6 Sol pass 0.94x $0.41 Gemini 3.6 Flash fail 0.89x $0.32”
warp.dev · checked Sep 10, 2026
Model provider: Is provider-agnostic: customers bring their own model or coding harness rather than being locked to one model vendor.
“bring your own model or harness (e.g. claude code or codex) — warp factories works with whatever your team prefers”
warp.dev · checked Sep 10, 2026
Model swappable: Model choice is not locked in — customers can bring their own model or harness rather than being tied to one.
“bring your own model or harness (e.g. claude code or codex) — warp factories works with whatever your team prefers”
warp.dev · checked Sep 10, 2026
Open weights: Supports open-weight models as an option alongside frontier models, selectable per pipeline stage.
“frontier open-weight frontier or open-weight, chosen per pipeline stage.”
warp.dev · checked Sep 10, 2026
Fine-tuning: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
Context window: no public information
warp.dev · checked Sep 10, 2026 · source did not state this

Ecosystem

Protocols supported: Exposes itself as a platform via API, CLI, SDK and MCP rather than a single vertical product.
“API, CLI, SDK and MCP built as a platform, not a vertical product or AI teammate.”
warp.dev · checked Sep 10, 2026
Tool use: Work is invoked through its API, CLI, SDK and MCP surfaces.
“API, CLI, SDK and MCP built as a platform, not a vertical product or AI teammate.”
warp.dev · checked Sep 10, 2026
Multi-agent: A single customer example config is applied across as many as 112 agents at once, indicating multi-agent orchestration at scale.
“factory.yaml applied to all 112 agents”
warp.dev · checked Sep 10, 2026
API access: Exposes programmatic access as part of an API, CLI, SDK and MCP platform surface.
“API, CLI, SDK and MCP built as a platform, not a vertical product or AI teammate.”
warp.dev · checked Sep 10, 2026
Open source: Its terminal product is open source.
“An open-source terminal built for AI-assisted software development.”
warp.dev · checked Sep 10, 2026
Marketplace presence: no public information
warp.dev · checked Sep 10, 2026 · source did not state this

Impact

User base: Claims over 800,000 developers and thousands of engineering teams as users.
“Trusted by over 800,000 developers and thousands of engineering teams at leading companies”
warp.dev · checked Sep 10, 2026
Deployment scale: Claims 800,000+ developers as its adoption-scale headline.
“trusted by 800k+ devs at SDLC coverage”
warp.dev · checked Sep 10, 2026
Target sectors: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
High-risk domains: no public information
warp.dev · checked Sep 10, 2026 · source did not state this
Documented incidents: no public information
warp.dev · checked Sep 10, 2026 · source did not state this

Compared with

Side-by-side on the fields where Warp AI and the other entry are both on record and actually differ.