Weave

Weave

Weave is an engineering metrics platform, and its official website states "AI to measure engineers and agents". It aggregates commits, pull requests and AI telemetry, combines developer feedback to locate delivery bottlenecks, and links token costs to output, covering the scenario of evaluating AI coding investment.

AI Developer Tools#Engineering metrics#AI output#Model Routing

Updated: 2026-10-26

What is Weave?

Weave (weaveos.com) states on its official website that it is "AI to measure engineers and agents" โ€” using AI to measure engineers and agents. It builds models to understand engineering work: how much has been done, the quality, and how much AI has contributed. The difference from common R&D efficiency platforms lies in that Weave directly incorporates AI telemetry into the workload metrics. The official website mentions that it combines AI metrics, DORA, SPACE, and developer feedback to pinpoint where work gets stuck; meanwhile, it provides a Coding Agent Router that routes each prompt to the appropriate model based on cost, speed, and quality.

Who is it for?

  • Engineering leaders who have rolled out AI coding tools on a large scale and want to quantify input-output ratios
  • Platform engineering and R&D efficiency teams that need to continuously deliver DORA and SPACE metrics to management
  • Technical teams that use multiple models and coding agents simultaneously and want to automatically select models based on tasks to reduce costs
  • Technical managers who need to explain the spending on AI coding to the finance department
  • External consultants who provide AI transformation consulting and need objective baseline data

Key features

6
1

Engineering Intelligence

According to the official website, it aggregates commits, tokens, pull requests, code reviews, deployments, and AI telemetry, and combines DORA, SPACE, and developer feedback to identify delivery bottlenecks and areas for improvement.

2

AI Usage and Output Correlation

The official website displays AI usage rates, AI scores, code quality, and output changes listed by engineers, to identify where AI has supported the team and where there is room for improvement.

3

Token Intelligence

It links token expenditure to engineering output, and according to the official website, it can benchmark the input-output ratios of over 1,000 organizations, and break down the proportion of spending by model and tool.

4

Coding Agent Router

The official website states that it classifies each prompt and routes it to the appropriate model based on cost, speed, and quality, while continuously learning from team feedback; it can be integrated with a single npx command, and tokens will not leave your local machine unless actively exported.

5

Wooly Agent

Can be invoked within the application or via MCP. The official website states that each of its responses is based on your own records and includes citations.

6

Compliance & Access

The official website lists SOC 2 Type II certification, GDPR and HIPAA compliance, SSO via SAML and OIDC, as well as SCIM, and states that teams can go live on the same day.

How to use Weave

  • First clarify the purpose of measurement before deployment: Define metrics as process improvement rather than individual evaluation.
  • The customer case on the official website also states "Use objective metrics to keep yourself honest," which will greatly improve team acceptance.
  • Start with a read-only integration and run it for two to four weeks to establish a baseline.
  • according to customer stories on the official website, it took 14 days from installation to the first management report, and this data is sourced from the official case page.
  • Define data boundaries: Only connect the repositories and providers that need analysis, and first confirm which submitted content, prompt data, and token data will leave your environment.
  • When using the Router, note that it will rewrite the endpoints for Anthropic, OpenAI, and Google clients.
  • Roll it out to a small number of teams for a phased launch and verify that the quality scores and cost curves meet expectations.
  • Collect compliance materials in advance: Conduct security reviews for the SOC 2 Type II report, list of subprocessors, and data processing agreement, and verify the scope of HIPAA applicability if medical data is involved.

Traffic & popularity

Data month Sep 2026

Weave receives about 17.2K visits per month and ranks #1,963,489 worldwide.

Monthly visits
17.2K
โ–ฒ 15.3% vs last month
โ–ผ 97.6% vs 3 mo. ago
Global rank
#1,963,489
of all websites
Bounce rate
56.1%
leave after one page
Avg. duration
0:18
per visit
Pages / visit
1.34
per visit
Country rank
#913,391
in its top market

Monthly visits

6 months
800.0K600.0K400.0K200.0K0
Apr 2026Jul 2026Sep 2026

Traffic sources

  • Direct49.8%
  • Referrals17.1%
  • Search14.5%
  • Social10.0%
  • Mail5.8%
  • Other2.9%

Top countries

  • United States43.9%
  • India19.8%
  • Mexico8.9%
  • Brazil3.5%
  • Singapore2.8%

Estimated from third-party traffic data.

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Weave
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