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Silicon Valley’s Next Act: Bringing ‘Vibe Coding’ to the World

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Silicon Valley introduces “vibe coding,” a term coined by Andrej Karpathy, blending AI tools like Replit Agent for simpler software development. This approach makes coding more accessible, especially for beginners, but experts warn of potential downsides such as lack of understanding of system architecture and technical debt. While AI can expedite coding, it may struggle with ongoing project maintenance. Industry leaders, including Sam Altman and Mark Zuckerberg, foresee significant changes in software engineering by 2025 as vibe coding evolves.

https://www.businessinsider.com/vibe-coding-ai-silicon-valley-andrej-karpathy-2025-2

OCR4all

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OCR4all: Free, open-source optical character recognition tool. Features include setup/user/developer guides, LAREX editor for layout/text annotation, OCR-D compatibility, user-friendly UI, and easy cross-platform deployment via Docker. MIT License.

https://www.ocr4all.org/

Zed Now Predicts Your Next Edit With Zeta, Our New Open Model

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Zed introduces Zeta, an open-source edit prediction model that anticipates user edits for efficient workflow. Users can quickly apply predictions using the tab key, enhancing the editing experience without disrupting existing functionalities. Zeta utilizes advanced techniques like supervised fine-tuning and direct preference optimization to improve accuracy and minimize latency with speculative decoding. Users are encouraged to contribute to Zeta's dataset for ongoing improvements. Currently available for free during public beta, Zed aims to evolve by incorporating community feedback and refining its AI capabilities.

https://zed.dev/blog/edit-prediction

How to Add a Directory to Your PATH

TLDR: How to add a directory to your PATH:

  1. Identify your shell (bash, zsh, fish).
  2. Find the config file (~/.bashrc, ~/.zshrc, or ~/.config/fish/config.fish).
  3. Determine the directory to add, usually where a program is installed.
  4. Edit your config file:
    • For bash: export PATH=$PATH:/path/to/dir
    • For zsh: path=($path /path/to/dir)
    • For fish: set PATH $PATH /path/to/dir
  5. Restart your terminal or run a new instance of your shell to apply changes.

Common issues:
– Wrong program runs: Add directory to the front of PATH.
– Program not run from the shell: Update PATH differently for non-shell execution.
– Duplicate PATH entries: Check for existing entries before adding.
– History loss after updating: Use source ~/.bashrc instead of starting a new shell.

For fish shell: fish_add_path can add directories but may complicate future removals.

https://jvns.ca/blog/2025/02/13/how-to-add-a-directory-to-your-path/

TinyBase

TinyBase is a lightweight, reactive data store designed for local-first applications, supporting offline functionality. It promotes performance by allowing real-time listening to data changes and integrates easily with React for building UIs. Key features include: a database-like structure for key-value and tabular data, native CRDT support for synchronization across multiple clients, and persistence options to various storage systems. It's modular, with a minimal size of 5.3kB and extensive documentation, making it suitable for diverse applications while ensuring full functionality without dependencies. The latest version is v5.4.

https://tinybase.org/

Local-First Software

Local-first software enables app development with co-located data and UI, offline function, client synchronization, and user data ownership. The community encourages participation through events, readings, and resources for building local-first applications. Various tools for data storage and synchronization are highlighted, along with notable individuals and communities to follow. Users can explore examples and join discussions to enhance their understanding and involvement in local-first development.

https://localfirstweb.dev/

Developer Creates Endless Wikipedia Feed to Fight Algorithm Addiction

Developer Isaac Gemal launched WikiTok, a site for endless swiping through random Wikipedia article stubs, mimicking TikTok's format but without invasive algorithms. Aimed at combating algorithm addiction, WikiTok offers a non-tailored exploration of knowledge. Users can read articles without targeted content traps, capitalizing on the breadth of Wikipedia's information. The project began after a viral tweet, and the prototype was rapidly developed with AI assistance. Gemal's vision prioritizes a free, unmonetized experience, focusing on learning rather than algorithm-driven engagement.

https://arstechnica.com/gadgets/2025/02/new-wikitok-web-app-allows-infinite-tiktok-style-scroll-of-wikipedia/

Coding’s New Dawn: How AI Assistants Are Reshaping Software Development

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AI assistants like GitHub Copilot, Claude 3.5, GPT-4, and Google’s Gemini are transforming software development, enabling users to code quickly using natural language commands. These tools provide rapid solutions, reducing the learning curve for beginners while improving efficiency for seasoned developers. Despite outstanding performance in benchmarks, real-world application presents challenges, highlighting the need for human expertise in complex projects. The rise of AI coding tools is democratizing development, leading to innovative new products and inspiring investment, but also raising concerns about over-reliance on AI-generated code. Ultimately, a balance between AI capabilities and human insight is essential for future software creation.

https://cybernews.com/ai-news/ai-assistants-reshaping-software-development/

Review: Zencoder Has a Vision for AI Coding

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Zencoder is an emerging AI coding assistant that utilizes “Repo Grokking” to analyze entire codebases for better context in code generation and repair. It features error-corrected inference and supports over 70 programming languages. While Zencoder's ability to process entire repositories enhances code generation quality, it currently lacks the capability to modify multiple files simultaneously. The product shows promise but is still developing compared to competitors that can handle more complex tasks. Pricing starts with a free plan, advancing to $19-$39 per user for business and enterprise options.

https://www.infoworld.com/article/3820199/review-zencoder-has-a-vision-for-ai-coding.html

5 Best AI-Powered Git Commit Message Tools Compared

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Comparison of 5 AI-Powered Git Commit Message Tools:

  1. GitHub Copilot – Suggests commit messages based on code changes. Pros: reliable, free tier; Cons: basic messages, usage limits.

  2. CursorAI – Similar to Copilot but less accurate. Pros: works out of the box, free tier; Cons: less accuracy, usage limits.

  3. czg – Uses Commitizen framework for structured messages. Pros: supports emojis, open-source; Cons: complex configuration for non-developers.

  4. OpenCommit – CLI tool generating commit messages quickly, supports various models. Pros: open-source, fun emojis; Cons: sometimes poorly formatted messages.

  5. AI Commits – CLI tool for automatic commit messages based on code changes. Pros: easy to install, open-source; Cons: no Ollama support.

Choose a tool based on workflow preferences; most are free to try.

https://www.hongkiat.com/blog/best-ai-tools-for-git-commit-messages/

How (not) to Sign a JSON Object

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TLDR: Blog discusses signing JSON objects, emphasizing using symmetric signing (HMAC) over asymmetric signatures. It outlines steps to sign JSON, potential issues with in-band signing, and approaches like canonicalization, including examples from AWS signing versions and Flickr's API vulnerabilities. Recommendations encourage using external signatures, enforcing TLS, and recognizing the complexity of canonicalization in JSON.

https://www.latacora.com/blog/2019/07/24/how-not-to/

Tech’s Dumbest Mistake: Why Firing Programmers for AI Will Destroy Everything

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Firing programmers for AI is a huge mistake. It leads to underprepared new coders, companies regretting layoffs due to AI-generated software failures, and increasing rarity and costs of skilled programmers. Companies replacing human engineers with AI risk chaos, as untrained staff will lack essential skills, causing serious operational issues. In the end, firms may struggle to rehire skilled workers, facing skyrocketing costs for the best talent. Overall, tech is harming its own ecosystem by underestimating the value of human engineers.

https://defragzone.substack.com/p/techs-dumbest-mistake-why-firing

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