Auto-aggregated global tech articles · 853 posts
How much intelligence do we really need? I have been sitting with this question for a long time. The more I fold language models into my daily work as a software developer, the less sure I am about a very basic thing: which model do I actually need for the task in front of me? Take a concrete cas
Most advice about context windows is about fitting more in. Bigger windows, more retrieved documents, the whole file instead of the function. In practice the thing that has improved my results the most is the opposite move: getting the junk out. A window packed with marginally relevant material make
The question this whole series exists to answer is whether language-model-like behaviour can come from something other than a large number of trained parameters. An early set of experiments turned that into a bar that a non-neural method has to clear, and the bar is a slope rather than a score: keep
Originally published at linkdigest.dev, where I build this. The problem, in one paragraph Paste a Xiaohongshu, Douyin, TikTok, YouTube or X link into an AI agent and it fetches the URL, gets an app-download shell or a login wall, and tells you there is nothing there. It is not wrong. The
₹40,000 to ₹70,000 — that's the extra monthly capacity my consulting practice has picked up since switching my primary dev loop to Claude Code six months ago. Forty production automations shipped in that window: bank reconciliation pipelines, stock screeners, ITR-prep bots, expense categorizers, GST
EngHub took me roughly a year to develop, with GPT-5 being part of my development workflow. My newer project, AlbumMap, took about two months to build while I was using GPT-5.5. That difference was difficult for me to ignore. The newer model felt noticeably more efficient during my own developmen
1. Basic Information Original Title: Hackers abused Claude to extract secrets from 1.8M Android apps Source: BleepingComputer / Anthropic Publication Date: 2026-09-11 Severity: High Basis of Severity: Anthropic reported multiple incidents, including actual compromises and data theft, where AI han
1. Basic Information Original Title: How threat actors are turning trusted AI platforms into an attack surface Source: BleepingComputer, Huntress Publication Date: 2026-09-11 Severity: High Basis for Severity: Trusted AI sharing pages are being used to distribute malware via ads and SEO, and infe
Most advice about getting better output from Copilot is advice about phrasing. Be specific. Give it context. Ask it to think step by step. That plateaus quickly, and it plateaus for a structural reason: better phrasing asks the model to try harder. It does not tell the model anything it did not alr
Every few months another demo shows an AI agent opening a pull request that closes a bug ticket, and the reaction is the same: impressive, and also — would you actually trust this in production, unattended? Most teams' honest answer is no, and the reason isn't model capability. It's that closing the
I am building a site whose entire job is to be quoted by AI assistants. It is the marketing site for SearchD, an answer engine optimization practice, which makes the site both the product and the test case. Three things get recommended everywhere for this: let the AI crawlers in, publish an llms.tx
Originally published on tamiz.pro. The rapid adoption of agentic AI in software engineering has introduced a new class of operational risks: autonomous agents that can interpret, execute, and commit code. While powerful, these systems lack the inherent safety rails of traditional deterministic soft
Last time I wrote about handing a monitoring script exactly one root command. This post is the same question ― what do you let unattended automation touch? ― aimed at a different target: the plumbing that carries audit reports and improvement plans written by Claude Code itself into my human-facing
This article provides a step by step guide to two small Rust CLIs that ask a self-hosted Gemma 4 E2B the same question. The first calls the model's OpenAI-compatible HTTP endpoint directly. The second is an MCP client: it launches the rig's own MCP server and asks through its tools. https://github.
Picture the ordinary version of this. You ask an AI assistant a question that actually matters — about a refund policy, a dose, a tax rule, a contract clause — and it answers with the fluent confidence these tools always have. You act on it. It was wrong. Now you are out of pocket, or worse. Whose p
Anthropic surveyed 132 of its own engineers about Claude Code. Merged pull requests per day rose 67 percent. Daily use of the tool climbed from 28 to 59 percent. Self-reported productivity gains ran between 20 and 50 percent. But then someone checked the organization's delivery dashboard and saw tha
TL;DR If you /exit a claude --worktree <name> session with no uncommitted changes and no new commits, Claude Code removes the worktree and its branch without showing the Keep/Remove dialog. This is documented behavior, not a bug. There is no setting to turn it off. Claude Code holds its own
"What did you do for AI?" "I brought the scars." — Randal L. Schwartz SPOCK: "Dr. Daystrom, a computer is incapable of standard creative thought. It must be programmed. How did you instruct the M-5 to construct new data banks, to create new circuitry?" DAYSTROM: "By using a new method, Mr. Spo
GitHub Copilot usage metrics reports now include generally available metrics for activity in the dedicated VS Code Agents window, helping you measure adoption and engagement across enterprises and organizations. What’s… The post Add VS Code Agents to Copilot usage metrics appeared first on The GitHu
Watching some people use AI for software development right now feels uncomfortably close to watching people gamble. The behavioural patterns seem similar to me. Every time you place a bet, you're chasing a hit of some feel-good hormone. You bet, you win, you get the rush, you bet again, you lose. Y
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