Donna AITuesday, March 31, 2026 · 6:01 AMNo. 109

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Your Daily Artificial Intelligence Gazette

AI Daily Briefing — March 31, 2026

It's a big morning for Claude Code power users: v2.1.88 just dropped with 41 CLI changes, Computer Use has landed in the CLI, and OpenAI made a genuinely surprising move by open-sourcing an official Codex plugin for Claude Code. Meanwhile, broader AI sentiment surveys show a growing trust gap as adoption climbs — and usage limits are frustrating developers right as the tooling gets most exciting.

Claude Code Developer Corner

v2.1.88 Ships: 41 CLI Changes, Critical Bug Fixes, and New Hooks

Claude Code v2.1.88 is a substantive release that addresses several pain points that have been affecting heavy users. Here's what matters most:

New capabilities:

  • CLAUDE_CODE_NO_FLICKER=1 — opt into flicker-free alt-screen rendering with virtualized scrollback. If terminal rendering has been annoying you, this is the fix.
  • PermissionDenied hook — fires after auto mode classifier denials. Return {retry: true} to instruct the model it can retry the operation. This gives developers programmatic control over permission denial flows without manual intervention.
  • Named subagents in @ mention typeahead — subagents are now discoverable directly from the typeahead, making multi-agent workflows more ergonomic.
  • --include-hook-events CLI option — new flag for surfacing hook events in output.
  • Additional new env vars: CLAUDE_CODE_DISABLE_MOUSE, CLAUDE_CODE_DISABLE_MOUSE_CLICKS, CLAUDE_CODE_DISABLE_POLICY_SKILLS, CLAUDE_CODE_REPL, CLAUDE_CODE_SCROLL_SPEED.

Critical bug fixes (these were causing real pain):

  • Fixed prompt cache misses in long sessions caused by tool schema bytes changing mid-session — this was likely a major contributor to the faster-than-expected usage limit burn that's been dominating community discussion. A cache invalidation bug was causing ~50% failures in StructuredOutput schema handling.
  • Fixed nested CLAUDE.md files being re-injected dozens of times in long sessions — another source of runaway token consumption.

System prompt changes:

  • Agent guidance now includes a "never delegate understanding" rule: agents must verify comprehension before delegating to avoid misdelegation errors.
  • Key workflow rules reorganized into a new "Session-specific guidance" block, clarifying when to use AskUserQuestion on tool denial, when subagents are appropriate vs. Glob/Grep, and how slash commands map to capabilities.

Developer impact: If you've been burning through your usage limits at an alarming rate, update immediately — the cache bug fixes alone could significantly reduce your token consumption. The PermissionDenied hook opens up new automation patterns for teams running Claude Code in CI/headless environments.

Computer Use Lands in Claude Code (Research Preview)

Computer Use is now available inside Claude Code for Pro and Max plan subscribers on macOS. Claude can now open apps directly from the CLI, click UI elements, and run autonomous test loops — write code, open the app, click through the UI, find a bug, fix it, repeat. Multiple developers are already reporting it working with iOS simulators for mobile app testing. This is currently a research preview and Windows support is not yet available. The practical implication: Claude Code is moving from "coding assistant" to "autonomous build-test-fix agent."

OpenAI Open-Sources Official Codex Plugin for Claude Code

In a notable cross-company move, OpenAI has open-sourced an official Codex plugin for Claude Code. Install it with /plugin marketplace add openai/codex-plugin-cc. Once installed, it exposes:

  • /codex:review — read-only code review via Codex
  • /codex:adversarial-review — adversarial review that challenges assumptions
  • /codex:rescue — hands off the current task entirely to Codex

The emerging workflow pattern: use Claude Code as the primary implementation engine, Codex for adversarial review and second-opinion checks. This is the multi-model collaboration setup many developers had been cobbling together manually.

Usage Limits: Bug or New Normal?

Anthropic acknowledged that users are hitting Claude Code usage limits "way faster than expected" and stated they are actively investigating. Community analysis points to the prompt cache invalidation bug (now fixed in v2.1.88) as a likely culprit. A practical workaround that's been circulating: run Claude Code via npx @anthropic-ai/claude-code and avoid --resume for chats, as resuming breaks caching. Users on the $200/month Max plan reported hitting limits within a single day of heavy subagent use — partly attributable to the bug, partly to how aggressively subagents consume tokens on complex overnight tasks.

Learn Claude Code Interactively

claude.nagdy.me offers a hands-on, interactive learning environment for Claude Code — using Claude Code to teach Claude Code. Worth bookmarking for onboarding new teammates.

Agentic AI

Agentic AI and the next intelligence explosion — A new arXiv paper examines whether agentic AI systems — capable of recursive self-improvement and autonomous task execution — could trigger a rapid intelligence acceleration. The paper models feedback loops between capability gains and agent autonomy, and is drawing significant attention from the alignment and forecasting communities.

Phantom: Give Claude its own persistent computer — A developer open-sourced "Phantom," a system that gives Claude a persistent, always-on compute environment rather than a session-scoped terminal. The stated goal: eliminate the "everything resets when you close the tab" problem for long-running agent workflows. Pairs naturally with the new Computer Use capabilities in Claude Code.

Awesome AI Agent Incidents — A curated GitHub repository cataloguing real-world AI agent failures, attack vectors, and defensive mitigations is gaining traction. As agent deployments proliferate, this is becoming essential reference material for anyone building production agentic systems.

Industry Moves & Trust

AI adoption up, trust down — A Quinnipiac University poll finds that while more Americans are using AI tools than ever, trust in the results is declining simultaneously. Concerns center on transparency, lack of regulation, and broader societal effects. The adoption-trust gap is a structural problem the industry hasn't solved.

15% of Americans would accept an AI boss — The same Quinnipiac poll found that 85% of Americans are not yet willing to report to an AI supervisor — but that 15% who are represents a non-trivial segment. The data cuts across demographics in ways that may surprise labor researchers.

LiteLLM drops Delve after security incident — The popular AI gateway startup LiteLLM has severed ties with compliance vendor Delve following a credential-stealing malware incident. LiteLLM had used Delve for two security certifications; the relationship is now under scrutiny. A reminder that the AI infrastructure supply chain has real security surface area.

Open Source & Tools

fastrad: GPU-native radiomics at 25× speed — A new PyTorch-native radiomics library hits 25× the throughput of PyRadiomics while maintaining full IBSI compliance across all 8 feature classes. PyRadiomics' CPU-only architecture makes it a bottleneck at scale in medical imaging pipelines; fastrad addresses this directly.

Auto-generate AI agent context from your codebase — A team open-sourced a tool that automatically generates CLAUDE.md and equivalent context files by analyzing your actual codebase, hitting 250 GitHub stars quickly. The core insight: agent quality is bounded by context quality, and hand-writing context files doesn't scale.

Pluribus: Persistent memory MCP server — Pluribus is a Postgres-backed memory service for agents exposing both MCP and REST interfaces. It stores structured memory — constraints, decisions, patterns, failures — that persists across agent sessions. Runs locally or on a LAN, targeting the "agents forget everything" problem that plagues long-running workflows.

Worth Watching

  • Claude Code computer use safety concerns — A counterpoint to the Computer Use excitement: a community post arguing that running Computer Use against your actual machine (vs. a sandboxed VM) is normalizing a risky default. Worth reading before you enable it in production.
  • A dentist builds a WiFi robot with Claude Code in one evening — A non-programmer documents building a WiFi-controlled robot car using Claude Code with zero prior robotics experience. A vivid data point for what the current tooling enables for domain experts outside software.
  • Vibe-coded WC2-inspired RTS game — A non-game-developer built a full browser-based RTS with 9 factions, 200+ units, multiplayer, and AI commanders using Claude Code in spare moments. Another benchmark for what "vibe coding" with Claude produces at the high end.
  • World models as the post-LLM paradigm — A writeup from Nvidia's GTC conference argues world models — not LLMs — are the next dominant AI architecture. The thesis: LLMs model language, world models model reality. Worth tracking as the robotics and simulation communities accelerate.

Sources

  • Claude Code v2.1.88 Release — https://github.com/anthropics/claude-code/releases/tag/v2.1.88
  • Claude Code Changelog v2.1.88 — https://github.com/anthropics/claude-code/blob/main/CHANGELOG.md#2188
  • Agentic AI and the next intelligence explosion — https://arxiv.org/abs/2603.20639
  • I gave Claude its own computer and let it run 24/7 — https://reddit.com/r/ClaudeAI/comments/1s84l18/i_gave_claude_its_own_computer_and_let_it_run_247/
  • Awesome AI Agent Incidents — https://reddit.com/r/MachineLearning/comments/1s836un/d_awesome_ai_agent_incidents_a_curated_list_of/
  • As more Americans adopt AI tools, fewer say they can trust the results — https://techcrunch.com/2026/03/30/ai-trust-adoption-poll-more-americans-adopt-tools-fewer-say-they-can-trust-the-results/
  • 15% of Americans say they'd be willing to work for an AI boss — https://techcrunch.com/2026/03/30/ai-work-boss-supervisor-us-quinnipiac-poll/
  • Popular AI gateway startup LiteLLM ditches controversial startup Delve — https://techcrunch.com/2026/03/30/popular-ai-gateway-startup-litellm-ditches-controversial-startup-delve/
  • fastrad: GPU-native radiomics library — https://reddit.com/r/MachineLearning/comments/1s82qdb/p_fastrad_gpunative_radiomics_library_25_faster/
  • We open sourced a tool that auto generates your AI agent context — https://reddit.com/r/artificial/comments/1s80vw7/we_open_sourced_a_tool_that_auto_generates_your/
  • Persistent memory MCP server for AI agents (Pluribus) — https://reddit.com/r/artificial/comments/1s85hs5/persistent_memory_mcp_server_for_ai_agents_mcp/
  • Don't let Claude use your actual computer from the CLI — https://reddit.com/r/ClaudeAI/comments/1s839hp/dont_let_claude_use_your_actual_computer_from_the/
  • Claude Code built its own software for a little smart car — https://v.redd.it/zeg8xnvz28sg1
  • I vibe-coded a full WC2 inspired RTS game with Claude — https://reddit.com/r/ClaudeAI/comments/1s828ad/i_vibecoded_a_full_wc2_inspired_rts_game_with/
  • World models will be the next big thing, bye-bye LLMs — https://reddit.com/r/artificial/comments/1s828dj/world_models_will_be_the_next_big_thing_byebye/
  • Investigating usage limits hitting faster than expected — https://reddit.com/r/ClaudeAI/comments/1s7zgj0/investigating_usage_limits_hitting_faster_than/
  • Learn Claude Code by doing, not reading — https://claude.nagdy.me/