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A specialized Claude Code workspace for creating long-form, SEO-optimized blog content for any business. This system helps you research, write, analyze, and optimize content that ranks well and serves your target audience.

Wikipedia in read-only mode following mass admin account compromise <a href="https:&#x2F;&#x2F;wikipediocracy.com&#x2F;forum&#x2F;viewtopic.php?f=8&amp;t=14555" rel="nofollow">https:&#x2F;&#x2F;wikipediocracy.com&#x2F;forum&#x2F;viewtopic.php?f=8&amp;t=14555</a><p><a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Wikipedia:Village_pump_(technical)#Meta-Wiki_compromised" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Wikipedia:Village_pump_(techni...</a><p><a href="https:&#x2F;&#x2F;old.reddit.com&#x2F;r&#x2F;wikipedia&#x2F;comments&#x2F;1rllcdg&#x2F;megathread_wikimedia_wikis_locked_accounts&#x2F;" rel="nofollow">https:&#x2F;&#x2F;old.reddit.com&#x2F;r&#x2F;wikipedia&#x2F;comments&#x2F;1rllcdg&#x2F;megathre...</a>

Show HN: Jido 2.0, Elixir Agent Framework Hi HN!<p>I&#x27;m the author of an Elixir Agent Framework called Jido. We reached our 2.0 release this week, shipping a production-hardened framework to build, manage and run Agents on the BEAM.<p>Jido now supports a host of Agentic features, including:<p>- Tool Calling and Agent Skills - Comprehensive multi-agent support across distributed BEAM processes with Supervision - Multiple reasoning strategies including ReAct, Chain of Thought, Tree of Thought, and more - Advanced workflow capabilities - Durability through a robust Storage and Persistence layer - Agentic Memory - MCP and Sensors to interface with external services - Deep observability and debugging capabilities, including full stack OTel<p>I know Agent Frameworks can be considered a bit stale, but there hasn&#x27;t been a major release of a framework on the BEAM. With a growing realization that the architecture of the BEAM is a good match for Agentic workloads, the time was right to make the announcement.<p>My background is enterprise engineering, distributed systems and Open Source. We&#x27;ve got a strong and growing community of builders committed to the Jido ecosystem. We&#x27;re looking forward to what gets built on top of Jido!<p>Come build agents with us!

The IRIX 6.5.7M (sgi) source code

Rising carbon dioxide levels now detected in human blood

[Other] Ten years of deploying to production

Show HN: Hormuz Crisis Dashboard Real-time shipping disruption tracker Built this in ~4 hours with zero coding background. Tracks a few economy angles of the largest acute shipping disruption since WWII.

Show HN: Keep large tool output out of LLM context: 3x accuracy 95% fewer tokens LLM agents often place raw JSON tool outputs directly in the prompt. After a few tool calls, earlier results get compacted or truncated and answers become incorrect or inconsistent.<p>I built Sift, a drop-in MCP gateway that stores tool outputs as local artifacts (filesystem blobs indexed in SQLite) and returns an `artifact_id` plus compact schema hints when responses are large or paginated.<p>Instead of reasoning over full JSON in the prompt, the model runs a small Python query:<p><pre><code> def run(data, schema, params): return max(data, key=lambda x: x[&quot;magnitude&quot;])[&quot;place&quot;] </code></pre> Query code runs in a constrained subprocess (AST&#x2F;import guards + timeout&#x2F;memory caps). Only the computed result is returned to the model.<p>Benchmark (Claude Sonnet 4.6, 103 questions across 12 datasets):<p>- Baseline (raw JSON in prompt): 34&#x2F;103 (33%), 10.7M input tokens<p>- Sift (artifact + code query): 102&#x2F;103 (99%), 489K input tokens<p>Open benchmark + MIT code: <a href="https:&#x2F;&#x2F;github.com&#x2F;lourencomaciel&#x2F;sift-gateway" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;lourencomaciel&#x2F;sift-gateway</a><p>Install:<p><pre><code> pipx install sift-gateway sift-gateway init --from claude </code></pre> Works with Claude Code, Cursor, Windsurf, Zed, and VS Code. Existing MCP servers and tools require no changes.

Migrating from Heroku to Magic Containers

Relax NG is a schema language for XML (2014)

Shannon Lite is a fully autonomous AI pentester for web apps and APIs. 96.15% (100/104 exploits) on a hint-free, source-aware variant of the XBOW benchmark.

Show HN: Poppy – A simple app to stay intentional with relationships I built Poppy as a side project to help people keep in touch more intentionally. Would love feedback on onboarding, reminders, and overall UX. Happy to answer questions.

Regulator contacts Meta over workers watching intimate AI glasses videos

Google Workspace CLI

[Other] Package managers need to cool down

Show HN: Potatoverse, home for your vibecoded apps DEMO: <a href="https:&#x2F;&#x2F;tubersalltheway.top&#x2F;zz&#x2F;pages&#x2F;auth&#x2F;login" rel="nofollow">https:&#x2F;&#x2F;tubersalltheway.top&#x2F;zz&#x2F;pages&#x2F;auth&#x2F;login</a>

NRC Issues First Commercial Reactor Construction Approval in 10 Years [pdf]

BMW Group to deploy humanoid robots in production in Germany for the first time

Compiling Match Statements to Bytecode

Show HN: Qlog – grep for logs, but 100x faster I built qlog because I got tired of waiting for grep to search through gigabytes of logs.<p>qlog uses an inverted index (like search engines) to search millions of log lines in milliseconds. It&#x27;s 10-100x faster than grep and way simpler than setting up Elasticsearch.<p>Features: - Lightning fast indexing (1M+ lines&#x2F;sec using mmap) - Sub-millisecond searches on indexed data - Beautiful terminal output with context lines - Auto-detects JSON, syslog, nginx, apache formats - Zero configuration - Works offline - Pure Python<p>Example: qlog index &#x27;.&#x2F;logs&#x2F;*&#x2F;*.log&#x27; qlog search &quot;error&quot; --context 3<p>I&#x27;ve tested it on 10GB of logs and it&#x27;s consistently 3750x faster than grep. The index is stored locally so repeated searches are instant.<p>Demo: Run `bash examples&#x2F;demo.sh` to see it in action.<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;Cosm00&#x2F;qlog" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;Cosm00&#x2F;qlog</a><p>Perfect for developers&#x2F;DevOps folks who search logs daily.<p>Happy to answer questions!