# ai-agents

Kun Chen banned Sonnet 5.5 from writing tests on a set of coding-agent eval tasks. The solve rate didn't drop, and time and tokens went down significantly. Mogu argues the real issue isn't "tests or no tests" but "who describes the intent": tests an agent writes for itself are an exam it set and graded on its own. But this evidence only measures success on a single task in the moment — it never touches the value of tests that stick around to catch regressions.

Anthropic has revealed how its Managed Agents architecture evolved: by separating sessions, harnesses, and sandboxes, it went from “pets” to “cattle.” The result was a reduction of more than 90% in p95 time to first token, while also solving problems with security and scalability.

A Midjourney engineer open-sourced a pure TypeScript text measurement algorithm that bypasses browser CSS reflow entirely, making layout 600 times faster. Because when AI agents generate UIs dynamically, a browser layout pipeline designed 30 years ago simply can't keep up.

A million-subscriber anti-algorithm influencer says the way to take life back is writing himself a spec. Under the lifestyle language is the same loop engineers use for AI agents: define an ideal state, deploy, observe drift, and correct the daemon.

Kun Chen mapped his daily agent fleet: one "firstmate" managing persistent "secondmates," which spin up disposable "crewmates" per task. Each crewmate gets routed to whichever model is the best deal for the job. gu-log runs its own translation pipeline on the exact same logic.

Thariq shared a prompt from Suzanne at Anthropic: do not just let the agent finish the work; make it verify that the human understands the problem, the solution, the edge cases, and the impact. This is not a teaching fetish. It is about control in the age of agentic coding.

Most agent failures are not reasoning failures — they are fetch failures. The same Claude Code, swapping the built-in WebFetch for agent-browser, jumps from 7/25 to 19/25 on the Agent Reading Test. Same model, same prompt. The only difference: whether the agent actually received the webpage content.

Django co-creator Simon Willison gave Lenny's Podcast a broad AI status report: November 2025 as tipping point, coding agents burning him out by 11 AM, Dark Factories, mid-career risk, and the security pattern he calls the Lethal Trifecta.

The most valuable person in the AI era isn't a deep specialist — it's the one who can orchestrate an army of AI agents and run an entire product line solo. The shift from IC to Generalist Orchestrator is already happening.

Karpathy found that vibe coding makes writing code a breeze, but deployment is pure hell. His exchange with Stripe CEO Patrick Collison reveals the next battleground: the entire DevOps lifecycle must become code before AI agents can truly take over.

Product Manager Paweł Huryn ran a 48-hour Claude Dispatch experiment from his phone while supervising his kids at a bounce house. Twenty-five minutes of instructions produced over three hours of parallel AI output, turning fragmented downtime into productive agent orchestration.

Alexey Grigorev stopped letting a single AI agent handle everything. Instead, he split the work across four roles—PM, SWE, QA, and On-Call—forming an agent team. He tested this setup on five real projects. One of them completed 41 out of 46 tasks in a single night.

Karpathy's MenuGen journey shows the hard part of vibe coding was not writing code, but assembling Vercel, Clerk, Stripe, OpenAI, and other services into a product. His takeaway: DevOps must become code before agents can really ship.

Being a GenAI App Engineer increasingly means being a Permission Engineer. Agent capability is bounded less by intelligence than by the access you grant, and every permission amplifies both power and risk. This is the underrated core skill of the agent era.

Claude Code has 512K lines of TypeScript, 64K lines of production code, and zero tests. The sharper question is not why Anthropic skipped tests, but why it did not use its own AI coding tool to write them. Can the same brain write and grade the exam?

xkcd #1205 taught a generation of engineers how to think about automation ROI. But AI changed the most expensive variable in that equation: the real return now is often not minutes saved, but cognitive load removed.

Figma's MCP server lets Claude Code and Codex work directly on the design canvas with your team's design system. Skills turn conventions, components, and variables from static guidelines into rules agents can actually follow.

On the No Priors podcast, Karpathy shares that since December, 80% of his code is written by agents. He introduces 'AI psychosis'—giving agents too much autonomy makes you lose grip on what they're actually producing. He believes engineering is undergoing an irreversible phase shift.

Teknium announces Browser Use as an official browser tool provider for Hermes-Agent. A quoted user reports that after connecting Hermes to Browser Use, it can access their social media accounts while retaining context about their codebase, tone, and workflows.

NousResearch's Hermes Agent v0.3.0 was retweeted by @Teknium. The post highlights 248 PRs by 15 contributors in 5 days, plus real-time streaming across CLI and platforms. One feature was cut off in the screenshot.