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project

pi

Pi is an AI coding agent from Earendil Works that runs MCP tool calls in a sandbox, keeping their output out of the model's context.

Known aliases

  • @earendil-works/pi-coding-agent
  • Pi coding agent
  • pi.dev

Relationships

No evidence-backed relationships are recorded.

Current stories

build1 publisher

A static denylist stopped one more prompt injection than no protection in a coding-agent study

Bouras, Dai and Mechtaev found a static denylist let 46 of 75 prompt injections execute in a coding agent, against 3 under preflight-scoped capabilities. A same-day Google report of malware stealing OIDC tokens from GitHub Actions runners puts the outer limit on an agent in the CI job's permissions.

Publishers:dev.to

Reality

Evidence45
Adoption
Insufficient
Hype gap+10
Incentives
Insufficient
Confidence50
build1 publisher

Pi 1.0 runs MCP tools inside a sandbox so their output stays out of context

Earendil's Pi 1.0 coding agent ships native MCP support after more than a year of criticising the protocol, running tool calls inside a WASM sandbox. The team credits a more stateless July 2026 spec and a sandbox it already needed for non-LLM models, so MCP support was a small addition.

Publishers:dev.to

Reality

Evidence40
Adoption35
Hype gap+20
Incentives40
Confidence40
build1 publisher

Pi adds MCP through a JavaScript sandbox that skips tool-schema preloading

Pi made MCP a core feature in version 0.99.0 on September 29, 2026, after its creator Mario Zechner spent over a year arguing against the protocol. In Pi, models call MCP tools from JavaScript in a QuickJS sandbox, so tool schemas are not preloaded into context.

Publishers:dev.to

Reality

Evidence40
Adoption
Insufficient
Hype gap+30
Incentives
Insufficient
Confidence45
build1 publisher

Zalando's durable agentic engineering win was a proxy, not a model

A 2.5-year retrospective spanning more than 250 engineering teams credits a LiteLLM-based API proxy, stood up in January 2024, for metering adoption and forcing client upgrades.

Publishers:engineering.zalando.com

Reality

Evidence46
Adoption64
Hype gap−12
Incentives52
Confidence55