» curated · synthesized
Skip the noise.
Read the signal.
Curated tech news and synthesis for developers and technology professionals.
» Latest posts
194 postsPorting Gemma-4 (2B/4B/12B) to AWS Inferentia2: A Field Report
How Gemma-4's mixed attention heads and KV-sharing broke AWS's vendor stack, and the tracing/sharding fix that made Inferentia2 inference work.
6 MCP Servers, One Agent: What the Token Bill Really Showed
An engineer benchmarked 6 MCP servers on one agent, exposing hidden token, latency, and OAuth costs — and the four fixes that cut spend by 53%.
A Practical Pre-Deploy Security Checklist for Solana Anchor Programs
A systematic pre-mainnet security checklist for Solana Anchor programs, covering account validation, arithmetic safety, CPI checks, and Wormhole exploit lessons.
Claude Code Skills Guide: Automating Your Dev Workflow
How Claude Code's Skills evolved into a directory-based standard, with frontmatter controls and a real /code-review workflow example.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comAI Coding Agents Are Breaking Diff-Based Code Review
AI coding agents make diff-only code review unreliable; intent now lives in test names, builder APIs, and contract tests instead.
Evaluation Debt: Why Offline Agent Evals Fail in Production
Why offline eval frameworks miss real production failures in AI agents, and why session-based observability is replacing static test suites.
Your AI Visibility Score Is Probably an Artifact
A 1,790-query audit finds most AI-visibility scores are artifacts, exposing why blending branded/unbranded prompts and single-engine scores mislead teams.
GhostCommit: the image-based exploit AI code reviewers miss
GhostCommit hides malicious instructions inside PNG images to bypass AI code reviewers like Cursor Bugbot and CodeRabbit undetected.
A Unified Framework for Self-Improving Agent Systems
A conceptual framework unifying Skill evolution, harness adaptation, and self-referential evolution in self-improving AI agent systems, beyond model weights.
Why $/Token Pricing Hides the Real Cost of Frontier AI Models
Frontier AI pricing pages hide tokenizer differences that can inflate real costs by up to 73% on code like TypeScript, per new billing analysis.