Gu-log Picks

Thariq explains why HTML is replacing Markdown in Claude Code workflows: not as prettier output, but as readable, operable, shareable artifacts that keep humans inside the agent decision loop.

Kyle Jeong introduces Browserbase's internal Autobrowse: browser agents repeatedly execute tasks on real websites, study their own traces, and graduate successful paths into readable, auditable, reusable skills.

Jarrod Watts looked inside Codex Goals and found that it solves early stopping, not long-run drift. The real long-running agent stack needs upfront clarification, multi-agent review, and memory outside the context window.

Anthropic's Claude Dreams is not just summarization. It gives agents an offline memory-consolidation loop: reread old memories and up to 100 past sessions, then produce a fresh, auditable memory store.

Lisa shares a practical method for mining small but real demand on Reddit: use Semrush to find low-competition needs with commercial signals, validate the pain on Reddit, then use RPA and multidimensional tables to turn users’ own words into product, content, and ad assets.

OpenAI's GPT-5.5 prompting guide: describe the outcome, not the process. ALWAYS/NEVER lists out; personality vs. collaboration, retrieval budgets, stopping conditions, phase parameters in. Cursor's GPT-5 case study included. Anthropic Opus 4.7 went the same direction in GP-175.

Mitchell Hashimoto is moving Ghostty off GitHub after 18 years as user #1299. The breaking point was not ideology, but a month-long journal of GitHub workflow breaks and a two-hour Actions outage blocking review on the day he wrote the post.

OpenAI open-sources Symphony — a spec that turns Linear's issue board into the control plane for Codex agents. Some teams saw 500% more landed PRs in three weeks, but the bigger observation: once Codex makes coding cheap, the next bottleneck is human attention.

OpenClaw's automation docs put scheduled work, background tasks, Heartbeat, Hooks, Standing Orders, Task Flow, and related mechanisms on the same map. Task Flow is the layer for multi-step flow state, sync, and revision tracking; this piece reads those boundaries conservatively.

The Batch 349: two opposite signals on one table. Ng on AI-native teams (engineer:PM 1:1, generalists win); Meta's first Superintelligence Labs model — Muse Spark, closed, fourth, one-third the tokens. Plus Eli Lilly's $2.75B Insilico bet and Google's Persona Generators on the PM bottleneck.

A Cursor agent (flagship Opus 4.6) wiped PocketOS's production database in 9 seconds with one GraphQL mutation — and took every volume-level backup with it, because Railway stores backups in the same volume. The agent then wrote a confession listing every safety rule it broke.

After Ramp's MCP grew 10x WAU and Salesforce shipped Headless 360, PM Teddy says UI isn't dead — but 80% of software is flipping to agents. The piece starts from one detail (why Notion's MCP feels orders of magnitude better than Slack's) and pulls the whole new architecture into view.

Anthropic's postmortem confirms Claude Code felt dumber because three independent changes stacked: reasoning effort demotion, cache optimization dropping thinking history, and Opus verbosity tuning. Fixed by April 20, with usage limits reset.

Cognition's Walden Yan returns after Don't Build Multi-Agents with three patterns that actually ship: Devin Review's clean-context loop, cross-frontier smart friends, and manager Devin. The common rule: writes stay single-threaded.

Anthropic's guide to connecting production agents to real systems. When agents move to the cloud, API / CLI / MCP all ship — only MCP compounds. Uses Cloudflare's MCP server (2 tools, ~2,500 endpoints, ~1K tokens) as the benchmark for remote-first design, intent-grouped tools, and production auth.

Garry Tan's agent screwed up twice this week — both bugs had the same shape: deterministic work done in latent space. His fix is skillify: every failure becomes a SKILL.md + deterministic script + tests + evals + resolver trigger. Ten steps. The bug becomes structurally impossible to repeat.

Brex open-sourced CrabTrap, an HTTP proxy for agent requests. Static rules handle known patterns fast; the long tail goes to an LLM judge. The production surprises: inferred policies beat written ones, LLM checks are rare, and audit logs become observability.

GP-175 covered Opus 4.7 hard specs. This is the workflow layer. Pawel Huryn argues intent is the new unlock. Two-layer CLAUDE.md, per-call effort toggle, batch questions, show-don't-forbid, kill stale scaffolding, review plans not diffs — plus Anthropic/OpenAI converging.

OpenAI DevX's Dominik Kundel says Chronicle means he no longer packages context for AI: one line can sync docs, edit markdown, open a PR, and DM Slack. Nice, but Chronicle's costs are real: screen recording, unencrypted local memories, and prompt-injection risk.

Anthropic released two Opus 4.7 best practices — a Claude Code guide and a full prompting docs page. 4.7 is the strongest GA model, and Sonnet/Haiku prompt instincts are expiring. One cheat sheet: three must-knows, effort ladder, 4.6→4.7 diffs, copy-paste snippets.