Moshi is an iOS/Android terminal app (plus a free Moshi Desktop web UI) that connects over SSH/Mosh straight to your own machine to drive Claude Code, Codex, and other coding agents. The free tier is a complete terminal; Pro ($7.99/mo and up) unlocks Mosh's connection resilience, deep tmux integration, and the diff viewer.
FLUX is Black Forest Labs' image-model family. The Stable Diffusion team launched it in August 2024 with a 12B rectified-flow transformer. Two years later it spans klein 4B ($0.014 and the only current Apache-2.0 model) / 9B, pro ($0.03), flex ($0.05), max ($0.07 with live web grounding), and open-weight 32B dev. FLUX 3 extends Self-Flow to video, synchronized audio, and robot actions. This guide covers the FLUX.1-to-FLUX 3 evolution, three-tier licensing, and model selection.
Speech models split into two lines. Whisper led ASR: its MIT-licensed 1.55B model drove transcription cost toward zero in September 2022; after v2, v3, and turbo cut the decoder from 32 layers to four, OpenAI moved to closed gpt-4o-transcribe. In TTS, ElevenLabs grew to an $11B valuation and $500M ARR, while Kokoro (82M, Apache-2.0) and Chatterbox preserved self-hosting. Speech-to-speech Realtime APIs are now rewriting live conversation.
Sora's February 2024 preview shocked the industry, but the landscape reversed in two and a half years: OpenAI closed the consumer Sora app in April 2026 and scheduled its API for retirement on September 24; Veo 3.1 became the narrative default with native audio and Flow; Kling 3.0 became a unified multimodal model with $240M annualized revenue; and Runway Gen-4.5 briefly led Artificial Analysis in a November 2025 snapshot while defending the professional market through enterprise workflows. This guide compares four families by generation, specifications, pricing, and use case.
Querying “認證” returned only ~10 hits while 149 files (509 occurrences) matched; 41 posts and 76 chunks were found via LIKE, but D1 chunks_fts had 0 rows and unicode61/trigram both returned 0 for 2-char CJK terms. Fix: LIKE fallback with char-level OR first, then trigram migration + pnpm sync, then pagination beyond the hard limit of 12.
MiniMax started as a consumer chat app company, then M2.5 scored 80.2% on SWE-bench Verified at 1/10-1/20 the cost of Claude Opus; M3 (456B total / 45.9B active) became the first open-weight model to clear 59% on SWE-bench Pro, with 1M context powered by their novel Sparse Attention mechanism.
Nous Research doesn't pretrain — they fine-tune and do RL. Hermes 4 scores 96.3% on MATH-500, NousCoder-14B improves Qwen3-14B's coding ability by 7% using only 24K training samples. But the real moat is Hermes Agent: 236K GitHub stars, #19 globally, 3,000 contributors.
DeepReinforce's Ornith 1.5 family, trained with self-improvement RL: the 397B flagship scores 86.0 on SWE-bench Verified, matching Claude Opus 4.8; the 35B-A3B activates only 3B parameters per token yet leads every coding benchmark in its class; the 9B runs on phones. MIT-licensed, fully open-source.
`claude agents` gives you one screen listing every background session, with Needs input, Ready for review, Working, Completed, and related states managed in one table. Press Space to peek, Enter to attach. Combined with cross-session messaging (ListAgents / SendMessage, v2.1.224+), sessions can also message each other; same-machine delivery uses a local socket and never touches Anthropic servers.
Claude Code splits its configuration across the project `.claude/` folder and your home directory — 20+ file locations. Only two mental models matter: settings merge across layers and are enforced; CLAUDE.md and rules concatenate into context as guidance. And every file is committed, gitignored, or Claude-written.
After GitHub PR review is configured, a fleet of agents reviews PRs according to the repo's trigger mode — 20 minutes on average, about $15–25 per review, with findings posted as inline comments on the offending lines. For larger changes, /code-review ultra launches a cloud deep review that reports independently verified bugs in 5–10 minutes at roughly $5–25 per run; Pro/Max plans include 3 free runs.
Claude Code costs accumulate with context size: enterprise deployments average ~$13 per developer per active day and $150–250 per month. This post covers /usage and /insights tracking, six token-saving tactics, and a systematic answer to 'which model should I use': provider-dependent model aliases, effort levels, fast mode ($10/$50 per MTok for Opus 5/4.8), and the advisor tool.
When CLAUDE.md rules are ignored, hooks never fire, or an MCP server shows no tools, the file usually didn't load, loaded from an unexpected location, or got overridden. This guide covers what the diagnostic entries (/context, /memory, /skills, /doctor, /mcp, and more) actually show, safe-mode bisection, and a table of six high-frequency error messages with fixes.
Add Anthropic's official Dev Container Feature (`ghcr.io/anthropics/devcontainer-features/claude-code:1.0`) to `.devcontainer/devcontainer.json` and three steps—write the config, rebuild the container, run `claude` to sign in—put every teammate's Claude Code behind the same container definition. The same definition feeds GitHub Codespaces and CI; a five-step rollout gets the whole team there.
Dynamic workflows let Claude write multi-agent orchestration as a JavaScript script that a runtime executes in the background — up to 1,000 agents per run, savable as a /<name> command. This piece covers trigger methods, the save-and-rerun flow, three fit scenarios (codebase audit, large migration, cross-checked research), and where they differ from Agent Teams.
Claude Code runs an agentic loop — gather context, take action, verify results — until the task is done. This entry to the series breaks down its five tool categories, the model/harness split, and the two safety rails: checkpoints and permission modes.
The official docs split Claude Code's parallel work into 4 approaches: subagents delegate inside one session, agent view lets you supervise background sessions yourself, agent teams coordinate workers through a lead, and dynamic workflows run scripted fleets of subagents with cross-checks; file collisions are always handled by worktrees. Includes a translated comparison table and a three-question decision guide.
Claude Code on the web runs tasks in cloud environments, Anthropic-managed VMs by default or self-hosted environments when routed there: authorize GitHub, dispatch from browser or mobile, start cloud sessions with --cloud, and pull them back local with --teleport. Research preview on Pro/Max/Team; no separate compute charge, but rate limits are shared.
Claude Code ships six permission modes; day to day you cycle Manual, Accept edits, Plan, and Auto with Shift+Tab. On Pro/Max/Team plans, eligible interactive terminal and VS Code sessions start in auto mode by default, with a background classifier reviewing most actions and blocking force pushes, `curl | bash`, production deploys, and more by default. This post covers the four-mode spectrum, permission rule syntax, and organization-level trust config.
Claude Code's prompt caching works by exact prefix matching: a cache read bills at roughly 10% of the standard input rate, but switching models, changing effort, enabling fast mode, toggling MCP servers, or denying an entire tool forces the next turn to reprocess everything. The TTL defaults to five minutes; the main conversation and a few helper requests on a subscription get one hour.