How to build an AI agent knowledge base: the wiki-plus-recipes pattern that cut per-turn tokens 80% and turned days of expert review into minutes.
Rust LSP low memory is achievable: Rust Glancer runs on 8GB machines by freezing analysis at save and offloading to disk.
Build a self-hosted AI coding agent with sandboxed execution. One prompt produces a repo, tests, CI, and deployed app — $25/mo, no cloud bills.
A Claude Code macOS printer driver project fixed a printer HP never supported — by diffing raw output byte-by-byte until a silent DPI mismatch turned up.
How to verify AI-generated benchmark claims: an LLM agent's regex engine beat Rust's regex crate by 1.4x on rebar, then lost 10x on a holdout it never saw.
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.
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%.
Run CI/CD on Cloudflare Workflows and a GitHub Actions YAML becomes 18 lines of TypeScript. Which meter bills first, and what private beta still blocks.
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.
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.
claude-swap is an open-source CLI that switches Claude Code accounts in seconds — no browser re-login. How it works, how to use it, and what it misses.
At GTC 2026, Jensen Huang said every company needs a Nvidia OpenClaw strategy. Here is what it means and what U.S. teams should do next.
Anthropic's Claude Code Review runs multi-agent PR reviews for $15-$25 each. How it works, pricing, REVIEW.md setup, and where it beats linters.
A 2026 guide to Figma to React conversion with OpenAI Codex: setup, prompts, component structure, and real production examples.
Qwen3-Coder runs 80B parameters on a desktop with only 3B active per token — and plugs into Claude Code. Why the cloud-only era of AI coding is ending.
Why AI coding agent prompts fail — and how spec-driven development fixes it, per Addy Osmani's 5-principle framework backed by GitHub's 2,500-config analysis.
A 138-repo study: AGENTS.md files hurt performance by 2-3% and raised costs 20%+. What the research found — and what actually works instead.