» curated · synthesized
Skip the noise.
Read the signal.
Curated tech news and synthesis for developers and technology professionals.
» Latest posts
1032 postsSynthDocBench Exposes Long-Context Weaknesses in Vision Language Models
New synthetic benchmark SynthDocBench reveals systematic VLM failures in long-context document understanding, including positional bias and chart errors.
LSPS Specifications: How Lightning Service Providers Are Standardizing
A breakdown of LSPS0, LSPS1, and LSPS2 — the specs standardizing how Lightning wallets and service providers exchange channels and liquidity.
HyperShots renders App Store screenshots with CSS, not AI pixels
HyperShots generates App Store screenshots via CSS and headless Chrome at exact pixel specs, eliminating rejections caused by AI image models.
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.comImplementing FIDO's passkey-export format: cxf-kit and 5 spec bugs found
cxf-kit is the first TypeScript implementation of FIDO's CXF passkey-export standard, exposing five spec bugs found during development.
Synapsor Runner Lets AI Agents Propose Changes, Not Execute SQL
Synapsor Runner is an open-source MCP runtime giving AI agents reviewed semantic tools instead of raw SQL, keeping database write authority outside the model loop.
AI Circuit Tutor That Can't Draw a Wrong Circuit
How digiwleea's AI circuit tutor uses netlist verification and simulation feedback to guarantee every generated circuit is provably correct.
Solo Lead Playbook: Running Product, Architecture and Backend with AI Agents
How one founder runs product, architecture, and backend engineering solo using a single AI coding agent, one collaborator, and a five-phase workflow.
A Multi-Agent AI Game Cost $1,847 in One Weekend — Here's Why
A two-agent AI game cost $1,847 in one weekend. Breakdown of why multi-agent LLM costs multiply, plus the fixes that cut expensive calls.
agent-gate: keep your AI agents from having unchecked power
agent-gate is a dependency-free MIT Python layer that gates AI agent actions behind deterministic checks and one-time tokens, blocking prompt injection and irreversible mistakes.
Why AI Agents Must Never Choose Their Own Acting Subject
AI agents shouldn't self-assign identity via tool arguments. Learn why acting subjects must come from trusted boundaries, not model output.