Practical guides on remote hiring, AI engineering, mobile testing, and developer tooling.
TypeScript 6.0 is the last JavaScript-based release before the Go-powered TypeScript 7. Here's what's new, what breaks, and how to upgrade safely.
Claude Fable 5 is back online as of July 1, 2026, after the U.S. lifted its export-control order. Here's what changed, how Anthropic brought it back, and how to access it.
gpt-3.5-turbo shut down on Oct 23, 2026, along with GPT-4, o1, o3-mini and o4-mini. Move to gpt-6-luna ($0.10/$0.50 per 1M) or gpt-6.1-sol ($2/$10). Avoid gpt-4o-mini and gpt-4.1-mini, which shut down Jan 14, 2027.
OpenAI's GPT-5.5 Cyber ships gated under the Daybreak program. What 'trusted access' means, the CyberGym-vs-Mythos-5 benchmark claim (and its caveats), and what defenders and developers should take from it.
GLM-5.2 leads MiniMax M3 by 4.5 points on Artificial Analysis's Intelligence Index v4.3.2 — but only at its Max reasoning tier. M3 wins on price and owns image and video input. GLM-5.3-Flash now beats both on capability and cost.
A practical walkthrough for self-hosting GLM-5.2 (744B MoE, 40B active) on llama.cpp. Quant tables, four hardware paths, exact install commands, verification, and a fallback to the Z.ai cloud API if your rig falls short.
Four credible 128GB-class boxes, four very different price points. We synthesise what practitioners with the hardware on their desks are actually reporting.
VibeThinker-3B is WeiboAI's MIT-licensed 3B reasoning model built on Qwen2.5-Coder-3B. We unpack the viral 'Opus 4.5 performance' claim with the actual HF benchmarks.
Z.ai's GLM-5.2: 744B params (40B active), 1M-token context, MIT-licensed weights — still the newest GLM you can self-host while GLM-5.3's weights are pending. Architecture, benchmarks, pricing, and a 3-path local-inference playbook.
The 13 best AI task managers in 2026, split into three tiers — AI-enhanced team tools (Linear, Notion, ClickUp), AI personal time-blockers (Motion, Reclaim, Sunsama), and AI agent orchestration boards (Codersera, Vercel Sandbox, Devin). Picks, prices, and a decision matrix.
Two open-weights heavyweights from China go head-to-head for the agentic-coding throne. K2.7 leads on MCP tool-use depth; V4 leads on raw per-token economics and proven independent benchmarks. We break down cost, agentic strength, self-host paths, and pick a winner per workload.
Moonshot's open-weights Kimi K2.7 Code goes head-to-head with Anthropic's Claude Opus 4.8. Architecture, benchmarks (and where they don't exist yet), per-task cost, agentic strength, self-host paths, and a clean per-workload verdict.
Moonshot's Kimi K2.7 Code and Z.ai's freshly-released GLM 5.2 are both Chinese open-weights coding flagships, both shipped in June 2026, and they trade on opposite axes. K2.7 leads on MCP tool use and pricing; GLM 5.2 leads on 1M context. We pick per workload.
Two open-weights heavyweights from China go head-to-head for the agentic-coding throne. GLM 5.2 leads on context window; DeepSeek V4 leads on token economics. We break down cost, agentic strength, self-host paths, and pick a winner per workload.
Claude Opus 4.8 leads GLM 5.2 on Artificial Analysis's Intelligence Index v4.3.2 (41.79 vs 33.71), and both carry 1M context. GLM 5.2's real edge is MIT weights — and GLM-5.3-Flash now matches Opus 4.8 at a sixteenth of the cost per task.
GPT-5.5 leads GLM 5.2 on Artificial Analysis's Intelligence Index v4.3.2 (38.36 vs 33.71), and both carry roughly 1M context. The per-task cost gap is 1.8x, not the 6.8x the per-token rates imply.
Zhipu Z.ai shipped GLM 5.2 today on every GLM Coding Plan tier with a usable 1M-token context window. Standalone API, the Z.ai chatbot, and the MIT open weights are arriving next week. No benchmarks yet — here's what's confirmed, what's not, and how it fits next to GLM-5.1.
Running five Claude Code sessions in five terminals and forgetting which one's stuck waiting on you? A free board that gives every agent its own column, a task queue, and a notify-only signal when one needs your input.
How Moonshot's open-weight Kimi K2.7 Code stacks up against Claude Opus 4.8, GPT-5.5, and DeepSeek V4 for agentic coding — on price, context, and the benchmarks that exist. K2.7's scores are Moonshot-reported only, so the verdict is subject to change once independent results land.
Moonshot AI's Kimi K2.7 Code — a 1T-parameter open-weight coding model with a 256K context, ~30% fewer thinking tokens than K2.6, and strong MCP tool-use. Benchmarks, pricing, API, and local-deployment guide.
Anthropic's first publicly available Mythos-class model, released June 9, 2026. Third-party benchmarks, pricing, context window, availability, the safety reroute to Opus 4.8, and how it compares to GPT-5.5 and Gemini 3.5.
Google's Gemini 3.5 Live Translate is a new audio model for continuous speech-to-speech translation in 70+ languages. Here's how it works, where it ships, and how to build with it.
Two ways to run Android in a container with no hardware acceleration: Redroid (containerized Android that never touches /dev/kvm) and the SDK emulator in software mode. Full commands, GitHub Actions setup, ARM cloud notes, and the errors you'll hit.
NVIDIA's Nemotron 3.5 Content Safety unifies multimodal input, 12-language coverage, custom policy enforcement, and auditable reasoning into one 4B guard model. Here's what it does and how to wire it into a production safety pipeline.
H Company's Holo3.1 family brings computer-use agents to local and on-device inference with quantized checkpoints and four model sizes. Here's what shipped and how to deploy it.