Home

A research study analyzed 287 popular Chrome extensions, revealing that a significant number contained code that could potentially spy on users' online activities, including accessing sensitive data and sending it to external servers without user consent.

The FAA temporarily closed airspace around El Paso, Texas due to an unspecified 'national security' incident. The closure affected flights and air traffic in the area, though the reason for the closure has not been publicly disclosed.

The article discusses the importance of not apologizing for responding to emails, as it can undermine one's confidence and professionalism. It emphasizes the need to communicate effectively and confidently without unnecessary apologies or self-deprecation.

The article discusses the backlash surrounding Ring's Super Bowl ad, which appeared to depict a neighborhood search party hunting down an intruder. Critics argued the ad promotes a culture of surveillance and fear, raising concerns about the company's surveillance-focused products.

The U.S. Department of Labor revised its January 2023 jobs report, showing an additional 517,000 jobs were added, a significant increase from the initial estimate. This revision highlights the continued strength of the U.S. labor market and economic recovery.

Railway's status page provides real-time updates on the operational status of their platform, including information on any ongoing incidents or maintenance activities that may affect customers.

The article discusses how the FBI obtained doorbell camera footage from Nancy Guthrie's home without a warrant, raising concerns about privacy and the increasing use of surveillance technology by law enforcement agencies.

The article discusses Garry Tan, the co-founder of Initialized Capital, and his involvement in California politics. It highlights Tan's efforts to support progressive candidates and causes, as well as his views on the state's political landscape and the challenges it faces.

Hey folks, we built a Kubernetes operator for Renovate and wanted to share it. Instead of running Renovate as a cron job or relying on hosted services, this operator lets you manage it as a native Kubernetes resource with CRDs. You define your repos and config declaratively, and the operator handles scheduling and execution inside your cluster. No external dependencies, no SaaS lock-in, no webhook setup. The whole thing is open source and will stay that way – there's no paid tier or monetization plan behind it, we just needed this ourselves and figured others might too.

Would love to hear feedback or ideas if you give it a try: https://github.com/mogenius/renovate-operator

Apple has released iOS 26.3, which addresses multiple security vulnerabilities that could potentially allow attackers to execute arbitrary code or gain elevated privileges on affected devices. The update is recommended for all iOS users to enhance the security and protection of their devices.

The article discusses the potential benefits and drawbacks of a developer company going public, including access to capital, increased visibility, and challenges with regulatory compliance and shareholder expectations.

Hi HN,

Deadend is an agentic pentest CLI that automates vulnerability research in webapps.

the problem we are trying to solve : removing the time consumed in repetitive assessments, report generation and extracting relevant information to let them focus on vulnerability research but powerful enough to find issues or leads by itself when we are in a deadend.

highlights : As of today, we scored 78% on XBOW’s benchmarks with claude-sonnet-4.5 in blackbox (we are currently iterating over the architecture of the agent and running the newest to get better results overall).

The agent runs entirely locally with optional self-hosted models. Shell tooling is isolated in Docker, and the python interpreter with WASM.

Some cool ideas are on the roadmap : CI/CD integrations, code review, bash completion, OWASP Top 10 plugins…

Docker is needed and it currently works only on MacOS Arm64 and Linux 64bits installable in one bash command.

Github Repo : https://github.com/xoxruns/deadend-cli Discord server : https://discord.gg/zwUVa3E7KT

Love to hear your thoughts and feedbacks!

This article explores how large language models (LLMs) can be effectively used for SQL tasks, highlighting their ability to generate complex SQL queries, troubleshoot issues, and explain query results in a human-readable format.

The article explores the conditions inside the U.S. Immigration and Customs Enforcement (ICE) family detention center in Dilley, Texas, where children are reportedly falling ill due to inadequate medical care and unsanitary living conditions. It highlights concerns raised by immigrant advocates about the health and well-being of the detained families.

I've been using LLMs for long discovery and research chats (papers, repos, best practices), then distilling that into phased markdown (build plan + tests), then handing those phases to Codex/Claude to implement and test phase by phase.

The annoying part was always the distillation and keeping docs and architecture current, so I built Unpack: a lightweight GitHub template plus docs structure and a few commands that turns conversations into phases/specs and keeps project docs up to date as the agent builds. It can also generate Mintlify-friendly end-user docs.

There are other spec-driven workflows and tools out there. I wanted something conversation-first and repo-native: plain markdown phases, minimal ceremony, easy to adapt per stack.

Example generated with Unpack (tiny pokedex plus random monsters):

Demo: https://apresmoi.github.io/pokesvg-codex/

Phases index: https://github.com/apresmoi/pokesvg-codex/blob/main/.unpack/...

I’d love feedback on what the “minimum good” phase/spec format should be, and what would make this actually usable in your workflow.

--------

Repo: https://github.com/apresmoi/unpack

Uses agent and Git Hooks to automatically create Git Notes on commit, containing the agent conversation that led to that commit. Works if either you or the agent commit.

It's basically the same thing as entire.io just announced that they got $60m investment for. Except I got Claude Code to write it last week, in my spare time, without really paying attention. I certainly didn't read or write any of the code, except for one rubbish joke in the README.

I've got a Claude Code instance working on Gemini CLI support and OpenCode support currently.

China successfully tested a new reusable rocket and demonstrated a prototype lunar lander, showcasing its growing capabilities in space exploration. The test marks a significant step forward in China's plans to send astronauts to the moon and develop a sustainable lunar program.

The article discusses the migration process from Slurm, a popular job scheduler, to Kubernetes, a container orchestration platform. It outlines the benefits of the migration, the challenges faced, and the steps involved in the transition to ensure a smooth and efficient process.

The article examines the 'banality of evil' within the MAGA movement, discussing how ordinary people can participate in and enable harmful ideologies without fully understanding the consequences. It explores the normalization of extremism and the need to confront the underlying forces that drive such dangerous political trends.

Hi HN,

I’m Vincent from Aden. We spent 4 years building ERP automation for construction (PO/invoice reconciliation). We had real enterprise customers but hit a technical wall: Chatbots aren't for real work. Accountants don't want to chat; they want the ledger reconciled while they sleep. They want services, not tools.

Existing agent frameworks (LangChain, AutoGPT) failed in production - brittle, looping, and unable to handle messy data. General Computer Use (GCU) frameworks were even worse. My reflections:

1. The "Toy App" Ceiling & GCU Trap Most frameworks assume synchronous sessions. If the tab closes, state is lost. You can't fit 2 weeks of asynchronous business state into an ephemeral chat session.

The GCU hype (agents "looking" at screens) is skeuomorphic. It’s slow (screenshots), expensive (tokens), and fragile (UI changes = crash). It mimics human constraints rather than leveraging machine speed. Real automation should be headless.

2. Inversion of Control: OODA > DAGs Traditional DAGs are deterministic; if a step fails, the program crashes. In the AI era, the Goal is the law, not the Code. We use an OODA loop to manage stochastic behavior:

- Observe: Exceptions are observations (FileNotFound = new state), not crashes. - Orient: Adjust strategy based on Memory and - Traits. - Decide: Generate new code at runtime. - Act: Execute. The topology shouldn't be hardcoded; it should emerge from the task's entropy.

3. Reliability: The "Synthetic" SLA You can't guarantee one inference ($k=1$) is correct, but you can guarantee a System of Inference ($k=n$) converges on correctness. Reliability is now a function of compute budget. By wrapping an 80% accurate model in a "Best-of-3" verification loop, we mathematically force the error rate down—trading Latency/Tokens for Certainty.

4. Biology & Psychology in Code "Hard Logic" can't solve "Soft Problems." We map cognition to architectural primitives: Homeostasis: Solving "Perseveration" (infinite loops) via a "Stress" metric. If an action fails 3x, "neuroplasticity" drops, forcing a strategy shift. Traits: Personality as a constraint. "High Conscientiousness" increases verification; "High Risk" executes DROP TABLE without asking.

We are building the DNA of digital workers. We need engineers interested in the intersection of biology, psychology, and distributed systems to help us move beyond brittle scripts. Roast our architecture.

Repo: https://github.com/adenhq/hive