T3MP3ST is a multi-agent offensive-security tool that wires your existing coding agent (Claude Code, Codex, Hermes — or a model you run fully offline via Ollama, LM Studio, or vLLM) into a recon-exploit-report pipeline for authorised
Bigger Picture
Observability catches up to agent sprawl
mcpsnoop landing the same day as MCP's enterprise auth push suggests teams want both control and visibility into agent tool calls before trusting them in production.
A rewrite of stack map generation in rustc_codegen_jvm made compiling Rust to the JVM roughly 36 times faster, with repo links and a reproduction script shared.
A developer built a 36-pattern checklist to catch AI writing tells in drafts, and debunks the theory that speculative decoding degrades creative writing quality.
Takeaway
Useful mental model: speculative decoding is lossless by design, so if our generated copy reads flat, the fix is prompt or sampling settings, not blaming the inference trick.
A breakdown of where LLM API keys end up in a typical stack, from environment variables to compromised dependencies, and how exposed that really leaves us.
Takeaway
Good prompt for an internal audit: trace exactly which processes and dependencies can read our LLM keys, then move to a secrets manager or credential proxy if we haven't already.
VS Code and OpenAI ran a two-week experiment tweaking the GPT-5.5 system prompt inside the coding harness, cutting tool calls and tail-end token usage while speeding up edits.
Bigger Picture
Prompt tuning beats bigger models
VS Code's harness experiment shows real gains come from tuning the prompt layer, not just swapping models, which lines up with the 36-pattern AI writing checklist debunking speculative decoding as the culprit for bad output.
NVIDIA reports that a large share of ICML 2026 accepted papers cite open frontier models and open infrastructure as the foundation for new AI research.
Takeaway
Worth noting as a directional signal that open-weight models keep gaining ground as the default research substrate, which usually means better tooling and fine-tunes trickle down to us faster.
A long-running repo documents leaked system prompts from Claude, ChatGPT, Gemini and others, tracking how vendors tune tool lists, guardrails, and behaviour over time.
Bigger Picture
Red teaming our own agents
T3MP3ST turning our existing coding agent into an offensive-security tool is a neat reminder that the same agent wired for dev work can be repointed at our own systems for authorised testing.
Deep DiveJavaScriptClaudeGPT
Learn/Multiple Mentions
What exactly is an MCP server?
MCP servers expose tools and data to AI agents through a standard protocol, so any client can call them the same way. Seen in mcpsnoop, open-connector, and mcpgen, which auto-generates them from OpenAPI specs.
Cloudflare launched Workers Cache, a regionally tiered cache sitting directly in front of Worker entrypoints, configured via standard HTTP cache headers.
Takeaway
If we're proxying LLM calls or API responses through Workers, this cuts redundant compute and origin calls just by setting standard cache headers, no new SDK to learn.
claude-real-video lets an LLM actually watch a video using scene-aware, deduplicated frame extraction plus transcript, running locally from a URL or local file.
OpenTag lets teams @mention a coding agent from Slack, GitHub, or GitLab threads, then runs Codex or Claude Code locally and returns results with an auditable work ledger.
OpenScience is an open-source AI workbench that reads papers, forms hypotheses, writes and runs code, and reports results, working with any frontier or open-weight model via our
A curated, annotated library of resources for building and evaluating AI agents, including a playbook with runnable code for LLM-as-judge, pass@k scoring, and CI gating.
claude-video gives Claude the ability to watch any video: a single command downloads it, extracts frames, transcribes audio, and hands it all to the model.
sim-use lets an AI agent see and interact with the iOS Simulator and Android emulator, giving coding agents actual eyes and hands on mobile test devices.
mcpsnoop is a transparent proxy that displays every real tool call between an AI client and MCP servers live in the terminal, like Wireshark for MCP traffic.
A curated list of over 1,000 production-ready Claude Skills and plugins covers document processing, dev tools, data analysis, and app automation across Claude.ai, Claude Code, Codex, Cursor, Gemini CLI, Antigravity, and more.
Open Science is a local-first, model-agnostic AI research workbench positioned as an open alternative to closed AI-for-science products, designed to tie literature, code, figures, reports, and review into one auditable, reproducible workflow.
agent-vault is an HTTP credential proxy and vault built specifically for AI agents like Claude Code and custom harnesses, keeping secrets out of agent context.
A collection of 66 version-pinned game-development skills for AI coding agents, with a router that auto-detects the engine and task to load the right skill.
A dev built a GitLab CI skill for AI agents based on official docs, letting agents write and debug pipeline configs correctly instead of guessing syntax.
open-connector is an auth gateway that connects over 1000 SaaS providers to AI agents through SDK, CLI, MCP, HTTP, and OpenAPI interfaces.
TrendingTypeScriptAgentsMCP
Learn/Core Concept
How does attention-based retrieval work?
Instead of comparing vector embeddings, it uses attention layers to score relevance directly, letting a model attend to raw context. A Reddit build shows it beating embeddings on long-memory and code search.
TypeScript
Rust
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