Blog

Design skills load 316 to 35,150 tokens when they trigger. What a non-code skill is, where it sits next to AGENTS.md and hooks, and when one makes output worse.

• agent-skills
• claude-code
• context-engineering
• design

ts-rust passed 181,711 ported tests for about $24,047 of Opus 5.5 tokens. Six agent ports, the oracle loop they share, what each cost and where it broke.

• coding-agents
• claude-code
• rust
• testing

The best AI reviewer on GitHub's ReviewBench finds 26% of known issues. Six layers teams stack in place of reading every line, and what each one catches.

• code-review
• coding-agents
• testing
• benchmarks

Shopify rebuilt its Shop app natively in 12 weeks because agents cut the cost of writing features twice. When that applies to your team, and when it does not.

• react-native
• mobile
• css-in-js
• coding-agents

In a 30-condition eval, telling Codex to use TDD cut fully correct Zstd decoders by 5 to 7 points. No testing instruction clearly beat none.

• coding-agents
• testing
• evals
• prompt-engineering

No released Git can push or fetch between SHA-1 and SHA-256. Five steps to find which forge, library and CI job in your stack breaks before Git 3.0.

• git
• version-control
• ci
• devops

A Wagtail maintainer ran 1B tokens of GLM 5.3 Flash in September for $68 and kept it as the default for 95% of tasks. The costs, the setup and what breaks.

• glm
• model-routing
• coding-agents
• claude-code

Only Kolibri's weights are out. Beam and Mistral Large 4 stay API previews until late October, and Kolibri's 4-bit build runs at 50 tok/s on a 64GB Mac.

• local-ai
• open-source
• open-weights
• mixture-of-experts

DeepSeek Harness runs any provider's model, Claude Code only Claude's. The lock-in sits in plugins, hooks, sessions and config, and those do not move.

• harnesses
• coding-agents
• claude-code
• plugins

On Cursor's own benchmark, Opus 5.5 beats every Grok 4.7 setting for less, and Composer 2.5 is the cheap editor. Prices, plan burn and the break-even.

• cursor
• model-routing
• benchmarks
• ai-coding-tools

Commit on green, keep every caller with its change, and stack small pull requests. The diff-size numbers behind it, and the hooks that enforce it.

• coding-agents
• claude-code
• code-review
• workflows

Memory is what an agent noted and a plugin replays. Documentation is what you wrote, reviewed and committed. How each loads, and what to write down.

• context-engineering
• agents-md
• claude-code
• coding-agents

ds4 runs big MoE models on 96 GB Macs, Magnitude tunes kernels to your device, Strata puts one model on a gaming PC. Every speed claim is self-reported.

• local-ai
• open-source
• benchmarks
• coding-agents

fast-jev-compaction prunes in a second, not 30. At its default threshold it keeps almost no tool results, and a scorer that always says no cuts as much.

• compaction
• context-engineering
• jev
• claude-code

The agent writes the film as code, headless Chromium captures each frame, FFmpeg encodes. LaunchVideo spends 100k tokens a film; a 14-agent reel cost $30.46.

• coding-agents
• claude-code
• video
• ffmpeg

A durable harness commits every step of an agent run to storage, so a crash resumes mid-turn. What Pi Durable shipped on 1 October, and what is only claimed.

• harnesses
• coding-agents
• ai-agents
• durable-execution

GitHub was the most added tool on Stackness in September 2026. Supabase and Cloudflare went from no profiles to 6 and 5. The table and an npm check.

• monthly-roundup
• trends
• ai-coding-tools

Sonnet 5.5 costs half of Opus 5.5 per token, but cache reads cost $0.20 on both. Which model plans, which one edits, and what one metered run saves.

• claude-code
• coding-agents
• model-routing
• benchmarks

A frozen eval panel is the only rerunnable way to tell whether a hosted model got worse. What livenerf measures on Opus 5.5, and how to size your own.

• benchmarks
• evals
• claude-code
• coding-agents

You can get Jev-style typed decisions from an ordinary LLM by forcing one output token and reading its logprobs. Where that matches Jev, and where it loses.

• system-one-models
• jev
• calibration
• logprobs