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AI spend per employee just became a line item that bosses watch, and the number that kicked off the conversation is wild: one worker running up a $30,000-a-year rate on Claude. That figure comes from Rippling CEO Parker Conrad, who told TechCrunch about an employee who used the assistant to read the
Open a new session with Claude Code, Cursor, or Copilot and it has no idea what you were doing yesterday. Your stack, your decisions, the bug you spent an hour explaining — gone. So you re-explain. Again. The root cause is simple: your AI's memory only lasts one conversation. Close the terminal and
lg logger It is very convenient if you do not need to drag zap, logrus with you, but just make go get and use it as log, only write lg (which is even shorter) and with error levels, backlight. The backlight can be turned off with one function. The tests are written, the linter is there, CI/CD is con
Messy text is everywhere: support tickets, lead forms, emails, contracts, incident reports, call notes, Slack messages. The annoying part is that the useful data is usually in there somewhere, but not in a shape your app can trust. I built a small Python example that uses Telnyx AI Inference to turn
I usually write backend stuff in Go, so I prefer strict typing, predictable performance, and explicit code. However, I wanted to see if the recent hype around AI-assisted development ("vibecoding") is actually useful for building production-ready apps, or if it's just for quick MVPs. To test it fair
Testing email verification in Python is one of those problems that looks simple until you actually try it. Your app sends a verification email. Your pytest test needs to read that email, extract the OTP or magic link, and continue the test. But the email lands in an inbox your test can't reach. The
RAG is one of those patterns that sounds more complicated than it has to be. At its core, retrieval-augmented generation is just: Store some documents Embed the user’s question Find the most relevant docs Send those docs to the model as context Return an answer with sources I built a small Python ex
Building a two-host video pipeline put me through most of the free neural TTS options that can run in GitHub Actions without a GPU. The criteria I care about: zero API cost, acceptable voice quality, runs headless in CI, and doesn't require CUDA at inference time. Here's a comparison of the four I t
When I launched three programmatic directory sites in April 2026, the open-source alternatives site had the most interesting data model. The AI tools directory indexes HuggingFace models — that's a pull from one API. The indie games directory reads Steam. But the OSS alternatives site has to answer
A lot of AI apps are starting to mix voice, language models, and generated audio. I built a small Python example that shows that full loop: take an audio file transcribe it translate the transcript with an LLM generate translated speech Repo: https://github.com/team-telnyx/telnyx-code-examples/tree/
A flaw in Amazon Q Developer let malicious repositories inject rogue Model Context Protocol (MCP) configurations into the agentic coding assistant's pipeline. The result: arbitrary code execution, sourced from a repo you pulled down to review. No phishing. No compromised credentials. Just a poisoned
Most Databricks agent tutorials start with "set up Unity Catalog and Vector Search first." OpenAI Agents SDK (with AsyncOpenAI — important, sync breaks it) Databricks Model Serving (Llama 3.3 70B via OpenAI-compatible endpoint) Databricks SQL Connector (not Spark — Apps have no Spark context) MLflow
Illinois passed a similar law, giving services more incentive to make ads less booming.
His doctors went looking for cancer, then they saw the worms' heads.
The FBI and CISA are warning that a phishing campaign targeting Signal users tied to Russian intelligence services has evolved to steal Signal Backup Recovery Keys, allowing attackers to access victims' historical messages. [...]
I’m ready for the Vamplier weekend. | Photo: Antonio G. Di Benedetto / The Verge We’ve covered so many deals during Prime Day that my head is spinning. But after four days of doing our damndest to try and help folks save money, the thing I’m most hyped for is a simple tool for fixing my most egregio
The Open Source Sustainability Initiative's goal is to help enterprises manage and secure aging open source projects while maintaining regulatory compliance.
Strategy's STRC briefly fell to a record low of $71.40 on Friday, leaving the preferred shares about 25% below par.
Old Ether wallets moved 37,806 ETH as long-term whale profitability turned negative for the first time since 2019, signaling mixed sentiment among large holders.
Unconventional AI Inc. has developed an artificial intelligence architecture that could improve the power efficiency of image generation models. The technology is the basis of a new neural network series, Un-1, that the company released on Thursday. Unconventional AI is led by Chief Executive Naveen
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