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ProgrammingDEV Community ·

How UAE Enterprises Can Build Production-Ready, Compliant AI Agents

AI agents differ from chatbots by using large language models to plan and execute multi-step tasks autonomously, calling tools in sequence based on intermediate results. UAE enterprises looking to deploy such systems must define clear task boundaries, choose an appropriate LLM backbone, implement retrieval-augmented generation memory, and add an orchestration layer. Regulatory compliance is a core requirement from the outset, including data residency within UAE infrastructure and adherence to the Personal Data Protection Law for any personal data processed. Practical use cases in the region include lease renewal processing, insurance claims triage, and procurement approval workflows where decision paths vary based on real-time data. Experts caution that agents are best suited for tasks involving variable branching and unpredictable intermediate outcomes, not for processes that can be mapped as fixed flowcharts.

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ProgrammingDEV Community ·

Developer Cuts Code Review Time by 68% Using Claude AI and GitHub Actions

A software developer has shared a hybrid workflow that reduced average pull request review time from 38 minutes to 12 minutes by integrating Anthropic's Claude API with GitHub Actions. When a pull request is opened, an automated script diffs the code and sends it to Claude, which returns structured feedback on security, performance, and style within two to three minutes. The developer then reviews the AI's suggestions critically before focusing human attention on logic, architecture, and edge cases. Supporting tools like ESLint and Prettier handle formatting checks upfront, leaving the AI to concentrate on higher-level issues. The author cautions that AI output should be treated like advice from a junior developer — useful but not blindly trusted — and that security-sensitive code still requires thorough human review.

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Crypto & Web3CoinDesk ·

Tether launches gold-backed loans for XAUT holders using $23B bullion reserve

Stablecoin giant Tether is expanding its tokenized gold strategy by enabling holders of its XAUT token to take out loans backed by their gold holdings. The move allows XAUT holders to access liquidity without having to sell their underlying bullion. The approach mirrors Tether's existing bitcoin-backed lending model, applying the same concept to its gold reserves. Tether currently holds approximately $23 billion worth of gold backing its XAUT token. The initiative marks a significant step in Tether's broader push to make tokenized real-world assets more financially productive.

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ProgrammingDEV Community ·

Developer's Rust Trading Bot Backtest Reveals Hidden Losses Masked by Lucky Trades

A software developer running a Rust-based trading bot on Polymarket for six months discovered through backtesting that two strategies were quietly losing money, obscured by gains on a few large positions. To replay historical data, the developer used tick-level L2 order book data from a third-party provider, since Polymarket's public API offers no historical endpoint. Rather than building a separate backtesting system, the developer reused the live bot's existing architecture, swapping only the data source between a WebSocket feed and a local file replay. This approach ensured the strategy engine, order book logic, and risk manager ran identically in both live and backtest modes. The exercise highlighted how trade-only historical data can mask slippage and produce misleadingly clean backtest results compared to full order book depth data.

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ProgrammingDEV Community ·

PostCSS Adopts Staged Publishing, Gating 685M Weekly npm Downloads Behind Human Approval

Following a GitHub issue filed on June 18, 2026, PostCSS maintainer Andrey Sitnik began rolling out npm's Staged Publishing feature across his high-impact packages, which collectively account for over 900 million weekly downloads. The change was prompted by concerns that CI-based publishing — where automated pipelines hold publish credentials — creates a broad attack surface, as demonstrated by the TanStack compromise in May 2026 and a Red Hat incident on June 1, both exploiting CI tokens to push malicious packages with valid provenance attestations. Staged Publishing addresses this by allowing CI to build and stage a release while requiring a human to manually approve promotion to the 'latest' tag, meaning a stolen CI token alone cannot complete a malicious publish. Within nine days of the initial issue, four packages — PostCSS, nanoid, browserslist, and Autoprefixer — had Staged Publishing enabled, covering 685 million weekly downloads. Three remaining packages, caniuse-lite, postcss-nested, and postcss-js, have yet to adopt the feature, after which the entire ecosystem's roughly 963 million weekly downloads will sit behind a human approval gate.

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IndiaNDTV ·

AI Data Centre Boom to Drive Global Memory Market to $890 Billion by 2026

A surge in artificial intelligence data centre investments is fuelling rapid growth in the global memory market, according to a Morgan Stanley report. The market is projected to expand by $670 billion, reaching a total value of $890 billion by 2026. The primary driver behind this growth is the unprecedented demand for memory infrastructure to support AI workloads. This boom signals a broader shift in the technology industry as AI adoption accelerates worldwide.

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IndiaTimes of India ·

Slab Collapse at Under-Construction Guest House in UP's Barabanki Injures 8

A slab collapsed at an under-construction guest house in the Haidergarh area of Barabanki, Uttar Pradesh, injuring at least eight workers. Several more labourers are feared trapped beneath the debris following the incident. Initial reports indicate that a shuttering failure triggered the collapse, burying workers at the site. A large-scale rescue operation involving police, fire services, and the SDRF is currently underway. Authorities are continuing efforts to locate and pull out those still missing from the rubble.

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ProgrammingDEV Community ·

Developer Builds Dual-Pool AI Code Review System Using Real Engineer Personas

A developer has created an adversarial AI code review system that simulates feedback from real-world engineers with documented philosophies, rather than relying on generic abstract roles. The system uses two pools: a fixed pool for consistent, depth-focused review and a randomly assembled pool that pulls fresh personas via web search each session to surface blind spots. Two AI managers, modeled on Netflix's Patty McCord and Pixar's Ed Catmull, curate teams of workers tailored to each task's specific needs. In a live test on a real pull request to an 18,700-star GitHub repository, the system surfaced 21 total findings across three rounds, with the random pool identifying issues that both fixed-pool rounds had missed. The project is publicly available on GitHub and was submitted as an installable skill via PR #866.

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ProgrammingDEV Community ·

MVC in Rails: Why Service Objects Solve the Fat Model and Fat Controller Problem

The Model-View-Controller pattern in Rails assigns each layer a distinct role, but developers often overload models or controllers with logic that belongs elsewhere. Fat controllers emerge when business logic crowds a single action, while fat models balloon when callbacks handle emails, payments, and third-party syncs. The missing piece is the service object, a plain Ruby class designed to coordinate multi-step workflows such as creating an order, charging a payment processor, and sending a confirmation email. Database writes that must succeed or fail together belong inside a transaction using bang methods to trigger rollbacks on failure, while external API calls like Stripe charges should sit outside the transaction to avoid holding open a database connection. Keeping each concern in its proper home — model for data rules, controller for request handling, service for workflows — is what separates junior Rails code from production-ready architecture.

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ProgrammingDEV Community ·

Expo Raises $45M Series B to Accelerate App Development Tools and AI Features

Expo, the mobile app development platform, has raised $45 million in a Series B funding round led by Georgian, which has previously backed developer infrastructure companies such as Replit and Render. Co-founder Charlie Cheever noted that Expo was already profitable and did not need the capital to sustain operations, but chose to raise funds to speed up product development. The company plans to use the investment to hire engineers and build new features that make app creation faster and more accessible. Growing adoption of Expo alongside AI tools has expanded the team's roadmap significantly. Expo also stated a broader ambition to enable non-developers with vision and determination to build application software.

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ProgrammingDEV Community ·

Developer Builds Static Scanner to Catch Supply-Chain Malware Before Code Runs

A developer created a static repository scanner after being targeted by a fake job interview repo designed to steal credentials and API keys. The tool analyzes repositories without cloning, installing, or executing any code, since malicious scripts embedded in npm lifecycle hooks like postinstall can run automatically during npm install. The scanner checks for three key threat categories: dangerous build-time execution hooks, dependencies in package.json that resolve to unexpected or non-registry URLs in the lockfile, and obfuscation patterns such as eval of decoded strings or long hex literals. The attack that inspired the tool exploited a mismatch between a trusted-looking package name and a malicious tarball URL hidden in the lockfile. By keeping analysis logic free of any I/O and testable against known-malicious fixtures, the scanner can flag suspicious combinations of signals before any harm is done.

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IndiaTimes of India ·

Filmmaker K Bhagyaraj Dies; Remembered for Amitabh Bachchan's Aakhree Raasta

The Indian film industry is mourning the death of acclaimed Tamil writer-director K Bhagyaraj. He made his Hindi directorial debut with the 1986 film Aakhree Raasta, featuring Amitabh Bachchan in the lead role. The film stood out for blending family drama and emotion within an action-dominated genre. Bhagyaraj's careful creative approach, combined with Bachchan's confidence in his direction, helped the film earn critical acclaim. The collaboration remains a significant part of his enduring legacy in Indian cinema.

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