Agent tool call cost jumped after you gave it better tools? GitHub hit that on Copilot code review and won ~20% back with a prompt rewrite, not new tools.
A research spike should ship as running code, not a design doc. alchemy-utils surfaced 8 engine blockers a doc would miss, and priced the fix at 3-5 weeks.
Learn complex topics with Claude Code by building a small simulation of the mechanism: the 4-step loop, the fact-check gate LLMs skip, and how to ship it free.
How to run Muse Glimmer 30B locally: the K-Quant setup that fits a single 24GB GPU, the drafter model that triples decode speed, and where it breaks.
409,000 approve/deny decisions show humans miss 1 in 3 agent threats, and 52.5% of npm-shaped exfiltration. The AI agent permissions config that works instead.
Agent tool instructions decide what your agent costs. GitHub kept the same grep/glob/view toolset, rewrote the guidance, and cut review cost by ~20%.
The Rust LLM policy bans AI-created code and prose but allows AI review, analysis, and bug-finding. Here's the exact rule, why it works, and how to copy it.
Two API changes break a Claude Opus 5 migration, and the effort parameter needs re-sweeping, not reusing. The fixes, the real cost math, and the benchmarks.
Claude Fable 5 is Anthropic's most capable model yet. The honest deep-dive: capabilities, the $10/$50 cost math, API behavior, and when to use it.
Claude Sonnet 5 for coding lands near Opus level at Sonnet prices — until the tokenizer change moves your bill. The real cost math, and when it beats Opus 4.8.
I ran Claude Code auto mode in production for a week — where it's reliable, where it broke, real token costs from my usage logs, and my honest verdict.
Claude Code vs Cursor for production, field-tested on real shipping tasks: a working engineer's decision table, failure modes, pricing, and which to use when.
The honest answer to using Claude Code and Codex for free in 2026: what's truly $0, what isn't, the best free AI coding CLIs, and how to cut your bill.
Claude Fable 5 in auto mode built my entire HLS streaming microservice in under a day — AWS infra, security, backend, frontend, CI/CD, migrations, runbooks.
Cursor vs Claude Code vs Copilot in 2026 — how they actually differ in model, workflow, and autonomy, and which to use for what (I use all three).
How to write a CLAUDE.md that actually helps Claude Code: what to include, what to leave out, a real structure, and how to stop it from rotting.