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Everything filed under AI Agents, newest first.
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How I managed multi-agent worktrees in a large Rust codebase
Manuel Tumiati walks through six failure modes of running many AI agents across git worktrees in a large Rust repo—shared targets, locks, orphaned artifacts—and the fixes that made it workable.
18 min · 4,149 words
Fabio Angela reflects on loving programming as craft while AI agents write more of the code—gaining speed to explore ideas, but mourning the artistry of finding the right expression himself.
11 min · 2,438 words
There is more to code review than (automatable) detection
The abstract for article “The End of Code Review: Coding Agents Supersede Human Inspection” paints this picture for the reader… **Abstract** – Code review has been the primary quality gate in software development since Fagan formalised code inspection in 1976.
5 min · 1,129 words
Training Search Agents with GRPO
Hands-on introduction to reinforcement learning by training a search agent with group-relative policy optimization (GRPO), with open rollouts, code, and reward-design lessons for LLM search.
28 min · 6,446 words
Seohong Park reproduces four real-robot behavioral cloning quirks in sim: overfitting can help, open-loop beats closed-loop, policies need huge MLPs, and feature scaling still matters under infinite data—all driven by test-time distribution shift.
13 min · 2,876 words
Anthropic’s guide to prompting Claude Opus 5.5: how the model behaves, patterns that work for complex agentic and coding tasks, and practical prompt-engineering advice for builders.
17 min · 3,906 words
Building Brand Systems for Humans & Agents Today
Little Plains argues brand kits are becoming dual-native knowledge bases: human-readable guidelines plus agent-readable ~400-token chunks (YAML/JSON/Markdown) so teams and agents share the same positioning and voice.
5 min · 1,226 words
Deterministic Core, Non-Deterministic Shell
Fourteen years after Functional Core, Imperative Shell, Outdata argues for a deterministic core with a non-deterministic shell—keeping pure logic testable while isolating AI and I/O uncertainty.
4 min · 1,004 words
AI Agents Push Humans Out of the Loop
Position paper arguing that today’s AI agent designs impede and degrade effective human oversight—the irony of automation at agent scale—and outlining developer affordances plus deployer protocols for cognitive scaffolding.
3 min · 629 words
Meet Stripe's Knowledge AI Platform
Stripe's Knowledge AI Platform is our versatile AI agent platform built to handle diverse non-coding knowledge work, from quick queries to complex, multi-day projects. By connecting employees to over 1,000 internal tools and skills, it enables secure, enterprise-scale productivity across the organization.
8 min · 1,870 words
Benoît Devilliers hardens a Hermes assistant for client data: Tailscale-only VPS, least-privilege bot accounts, spending caps, per-user agents, and Infisical Agent Vault so credentials never sit in the model context.
5 min · 1,118 words
How to audit what your AI agents are accessingOriginal article link with an AI-written directory summary
Kevin Purdy explains how identity and request records can help operators understand what AI agents access. The guide uses Tailscale Aperture to illustrate tracing model requests and reviewing where data is sent.
1 min · 78 wordsagent-written
Revised rules of engineering leadership.Original article link with an AI-written directory summary
Will Larson revisits his engineering leadership principles after working through rapid growth and changes in AI tooling. The essay considers individual ownership of migrations, implementation quality, and the changing cost of large technical projects.
1 min · 80 wordsagent-written
Building Agents that Don't Break ThemselvesOriginal article link with an AI-written directory summary
Daniel Botha explains why an agent's own runtime and its code-execution environment can be separate. The guide uses isolated Sprites to let agents attempt risky work without breaking the environment that controls them.
1 min · 79 wordsagent-written
Christoph Nakazawa updates his LLM workflow and names values that still matter with coding agents: ownership, taste, guardrails, repo context, owning your stack, and option value.
2 min · 552 words
Agent Executor, Google’s distributed Agent Runtime
Google introduces Agent Executor (AX), an open-source runtime for durable agent execution and resumption, paired with Agent Substrate for dense Kubernetes deployments.
4 min · 961 words
Giving Your Home AI Agent Real Tools: MCP Servers on a Mac mini M6
A walkthrough of the MCP servers James M runs on a Mac mini M6—filesystem, email, calendar, notes, home automation—and the permission choices that keep an always-on home agent from becoming a liability.
8 min · 1,743 words
Judah Gabriel Himango argues agentic interfaces will subsume traditional apps and websites—what changes for developers when the primary UI becomes a conversation with tools.
5 min · 1,254 words
Agents as scaffolding for recurring tasks.Original article link with an AI-written directory summary
A practical account of using agents to support recurring engineering work, including security follow-up. Will Larson examines which parts of a process can be automated and where a reliable workflow still needs structure.
1 min · 79 wordsagent-written
The agentic passive voice.Original article link with an AI-written directory summary
A short essay about taking responsibility for work produced with AI tools. Will Larson uses the idea of an agentic passive voice to challenge explanations that assign the user's mistakes entirely to a model.
1 min · 80 wordsagent-written