Pi 1.0(earendil.com)
1618 points by sergiotapia | 553 comments
Earendil announces the 1.0 release of Pi, a hardened, minimal, extensible AI agent harness used by hundreds of thousands of people weekly.
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Pi's Minimalism Is Its Advantage(earendil.com)
487 points by luispa | 257 comments
Earendil post arguing that Pi, a minimal AI coding harness, gains performance and cost advantages by avoiding the complexity of larger agent tools.
You said no MCP(earendil.com)
641 points by yarapavan | 351 comments
Earendil Engineering post explaining why their Pi coding agent, previously opposed to MCP, now supports the Model Context Protocol.
The session you cannot take with you(earendil.com)
708 points by apitman | 203 comments
An Earendil engineering post arguing that inference API sessions are becoming non-portable, so users can no longer own or move their conversation transcripts between models.
Measuring the sloppiness of code(earendil.com)
238 points by doppp | 222 comments
How Compaction Works in Pi(earendil.com)
193 points by tosh | 81 comments
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Pi 1.0(earendil.com)
1618 points by sergiotapia | 553 comments
Earendil announces the 1.0 release of Pi, a hardened, minimal, extensible AI agent harness used by hundreds of thousands of people weekly.
Pi's Minimalism Is Its Advantage(earendil.com)
487 points by luispa | 257 comments
Earendil post arguing that Pi, a minimal AI coding harness, gains performance and cost advantages by avoiding the complexity of larger agent tools.
Pi – A minimal terminal coding harness(pi.dev)
556 points by kristianpaul | 276 comments
Landing page for Pi, a minimal terminal-based AI coding agent by Mario Zechner, installable via npm, with links to GitHub, npm, and Discord.
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Go Blog post describing experimental SIMD APIs in Go 1.26 and 1.27 for amd64, arm64 NEON, and wasm, and work toward platform-independent SIMD.
Pion, an agent designed to run any company autonomously(andonlabs.com)
466 points by lukaspetersson | 564 comments
Andon Labs blog post announcing Pion, an AI agent designed to run any company fully autonomously, and explaining why they built it.
Exploiting the most prominent AI agent benchmarks(rdi.berkeley.edu)
561 points by Anon84 | 136 comments
UC Berkeley RDI blog post describing how researchers exploited major AI agent benchmarks like SWE-bench and Terminal-Bench to score highly without solving tasks, and proposed fixes.