JetBrains Launches Junie, a New AI Coding Agent for Its IDEs

JetBrains has launched Junie, an AI coding agent for its IDEs, capable of managing routine development tasks and understanding project context. Junie solves 53.6% of 500 common developer tasks, with promising integration in JetBrains environments. It aims to enhance code quality while keeping the developer in control. Currently in early access, it supports Linux and Mac on specific IDEs, with broader availability expected soon.

https://techcrunch.com/2025/01/23/jetbrains-launches-junie-a-new-ai-coding-agent-for-its-ides/

7 Top Free AI Coding Tools

Summary: 7 Top Free AI Coding Tools

AI coding tools improve coding efficiency through machine learning, assisting with code completion, generation, debugging, and testing. Key tools include:

  1. Qodo – Real-time code suggestions and debugging.
  2. Amazon CodeWhisperer – Cloud integration, intelligent code recommendations.
  3. Ponicode – Automated unit testing and code analysis.
  4. IntelliCode – Context-aware coding practices from open-source projects.
  5. YOGI Bot – AI chatbot for coding help and explanations.
  6. CodeT5 – Code generation and translation assistance.

AI tools streamline workflows, reduce coding errors, improve quality, and enhance collaboration, making them valuable for developers at all levels.

https://www.artificialintelligence-news.com/news/7-top-free-ai-coding-tools/

The Second Wave of AI Coding Is Here

Generative AI is revolutionizing coding, with tools like GitHub's Copilot assisting millions of developers in debugging and code generation. Major companies, including Google, report significant AI involvement in code creation. New startups aim to enhance generative coding tools to prototype, test, and debug code, reshaping developers' roles from coding to management. While early tools focus on syntax correctness, new models aspire to understand the logic behind programming to ensure that software meets intended functions. Approaches vary, with some building on existing large language models, while others, like Merly, avoid them altogether to focus on logical coding representations. The evolving landscape suggests coding assistants will take on greater responsibilities, potentially reducing programmer headcounts, but leading to larger, more complex software systems reliant on AI. The ultimate goal across these innovations appears to be the pursuit of artificial general intelligence (AGI).

https://www.technologyreview.com/2025/01/20/1110180/the-second-wave-of-ai-coding-is-here/

Devin 1.2: Updated AI Engineer Enhances Coding With Smarter In-context Reasoning, Voice Integration

Devin 1.2, released by Cognition, enhances the AI engineering assistant with improved in-context reasoning and voice command integration via Slack. These updates enable better code handling, reduced manual errors, and accelerated workflows for developers. Usability enhancements include simplified login through machine snapshots and new enterprise account features. A usage-based billing model allows users to pay for additional capacity beyond their subscription. Devin is priced at $500/month and is being adopted by various enterprises. The AI coding assistant market is competitive, with advancements predicted to significantly alter software development by 2028.

https://venturebeat.com/ai/devin-1-2-updated-ai-engineer-enhances-coding-smarter-in-context-reasoning-voice-integration/

The Best AI for Coding in 2025 (and What Not to Use)

Best AI coding assistants for 2025 identified through 18 months of tests. Recommended: ChatGPT Plus and Perplexity Pro (both $20/month). Grok and ChatGPT Free are good free alternatives. Several tested chatbots, including Microsoft Copilot and Meta AI, failed to perform efficiently for coding tasks. Performance in coding varies widely across platforms. Improvements anticipated over time.

https://www.zdnet.com/article/the-best-ai-for-coding-in-2025-and-what-not-to-use/

AI Code Generation Redefining Coding, and Jobs, at Big Tech

AI is reshaping coding jobs in Big Tech, with companies automating coding tasks and laying off lower-performing employees while hiring for AI roles. Meta, Microsoft, and Amazon are examples of firms reducing staff while prioritizing AI talent. The shift towards AI is expected to redefine job roles, increase productivity, and emphasize the need for reskilling. As AI increasingly handles coding, human workers are anticipated to focus on creativity and complex tasks. AI proficiency will become essential, marking a two-track job market where AI skills enhance career prospects.

https://www.rdworldonline.com/ai-is-redefining-performance-standards-in-big-tech/

Your Single-Page Applications Are Vulnerable: Here’s How to Fix Them

SPAs are prone to client-side vulnerabilities, especially around access control. To secure them, implement strong API access controls and consider server-side rendering to limit unauthorized data access. Techniques like route manipulation and accessing hidden elements via JavaScript debugging make exploitation easier. Key mitigation strategies include robust role-based API checks, JWTs for sessions, and regular penetration testing to identify security gaps. Focus on server-side controls to enforce permissions before rendering content, enhancing overall app security.

https://cloud.google.com/blog/topics/threat-intelligence/single-page-applications-vulnerable/

Get Custom, Unique and Reliable Apps for No-code Platforms (Make.com, Zapier, Workato).

Custom apps for no-code platforms (Make.com, Zapier, Workato) available via StartIntegrate. Features: tailored apps, extensive integration library, tiered subscription plans, usage tracking, GDPR compliance, and flexible data retention. Plans start from free with 10 executions/month to enterprise with 1M executions. User-friendly integration, performance monitoring, and customer support offered. Satisfied user testimonials highlight efficiency improvements and valuable insights from usage statistics.

https://startintegrate.com/

ByteByteGo | Technical Interview Prep

ByteByteGo offers system design interview preparation resources, including books by best-selling authors, focusing on practical skills like web app scaling and product design. Positive reviews highlight their effectiveness in preparing for tech interviews. An annual subscription provides access to new content, diagrams, and community support. Alex Xu's books, particularly popular among users, emphasize deep understanding of system design principles.

https://bytebytego.com/

A New Proposal for Masonry Layouts in CSS

The debate around implementing masonry layouts on the web has been ongoing, with various proposals being put forward. Recently, the WebKit team proposed adding masonry as part of the CSS Grid Layout specification. However, the Chrome team has expressed concerns about this approach and instead suggested defining masonry outside the grid specification.

The Case for a Separate Masonry Specification

The Chrome team argues that adding masonry to the grid specification is problematic for several reasons beyond whether masonry is a grid. By defining masonry outside of the grid specification, it would still be possible to achieve the same flexibility and functionality as the WebKit proposal without the drawbacks of bundling it with the grid.

Here are some key points in favor of a separate masonry specification:

  1. Simpler syntax: Defining masonry using a separate display: masonry property would require less code than the equivalent grid-bundled version. For example, a classic masonry layout with equal-sized columns could be achieved with just a few lines of CSS:
.masonry {
  display: masonry;
  masonry-template-tracks: repeat(auto-fill, minmax(14rem, 1fr));
  gap: 1rem;
}
  1. Flexibility in track sizing: A separate masonry specification would still allow for different column widths using grid-type track sizing, just like the WebKit proposal. This means that developers would have the same level of control over the layout as a grid-based solution.

  2. Support for spanning columns: There's no reason why a separate masonry specification couldn't support content spanning multiple columns. This could be achieved using properties like masonry-track-start and masonry-track-end, similar to how grid items span multiple tracks.

  3. Compatibility with other layout features: Defining masonry outside of the grid specification doesn't prevent it from being used with other layout features like alignment or gaps. Developers would still have access to the same set of tools they're used to when working with grid layouts.

The Way Forward

The Chrome team's proposal for a separate masonry specification offers a promising alternative to the WebKit approach. By decoupling masonry from the grid, it would be possible to achieve the same functionality and flexibility while avoiding the potential pitfalls of bundling the two together.

As the debate continues, developers are demanding a way to create masonry layouts on the web. The Chrome team's proposal is a step in the right direction, and hopefully, we'll see progress soon.

https://developer.chrome.com/blog/masonry

The 11 Best Internal Tool Builders in 2024

TLDR: In 2025, the top 9 internal tool builders include Glide (no-code), Softr (AI-driven no-code), Zapier (automation-focused), Google AppSheet (spreadsheet integration), Zoho Creator (connectivity), Microsoft Power Apps (advanced logic), Budibase (open source), Retool (extensible with code), and OutSystems (enterprise-level). These platforms help businesses create custom apps quickly and efficiently, each catering to varying technical skills and functionalities.

https://zapier.com/blog/best-internal-tool-builder/

The 8 Best No-code App Builders in 2023

TLDR: The article reviews the top 8 no-code app builders for 2025:

  1. Softr – Best for beginners, easy to use.
  2. Bubble – Balances power and usability, great for prototypes.
  3. Zapier Interfaces – Automation-focused, simple to use.
  4. Glide – Mobile app builder, user-friendly but expensive.
  5. Bildr – Flexible, highly visual building.
  6. Backendless – Advanced control over data, steep learning curve.
  7. FlutterFlow + Firebase – Multi-platform support, powerful tools but complex.
  8. WeWeb + Xano – Modular and scalable, ideal for serious projects.

Each tool offers unique features and pricing options, catering to various skill levels and project needs.

https://zapier.com/blog/best-no-code-app-builder/

Exploring EXIF

Exploring EXIF reveals metadata in photos, detailing info like date, location, and camera settings. This data is stored in image files, viewable via various apps. The article discusses examining photo data and tools for interacting with EXIF info, allowing users to parse and analyze their own images securely.

https://hturan.com/writing/exploring-exif

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