Plutonic Rainbows

The Rise of Agents in Agentic Coding

Agentic coding represents a paradigm shift in software development where specialized AI agents act as autonomous team members, each bringing unique expertise to the development process. These agents — ranging from architecture advisors and security engineers to QA specialists and integration experts — work collaboratively to handle everything from boilerplate code generation and automated refactoring to real-time error detection and comprehensive testing. Real-world implementations like Anthropic's Claude Code, GitHub Copilot Workspace, and Cursor IDE demonstrate how these systems can analyze entire repositories, suggest architectural improvements, and execute complex multi-file operations while maintaining consistent quality standards across massive codebases. The advantages are transformative: tasks that once took hours now complete in minutes, senior-level expertise becomes democratically accessible to all developers, and code quality remains consistently high without the variability of human fatigue.

While challenges persist — including context window limitations in massive codebases, occasional hallucinations requiring verification systems, and the complexity of coordinating multiple agents — the trajectory is unmistakable. Current trends show agents evolving beyond text generation to execute commands, modify files, and interact directly with external systems, enabling automated deployment workflows and self-healing applications. Specialized ecosystems are emerging for specific domains, languages, and frameworks, while next-generation memory systems allow agents to learn from past decisions and adapt to team coding styles. The future of development isn't about replacing programmers but amplifying their capabilities: developers will orchestrate agent teams, define high-level objectives, and focus on creative problem-solving while agents handle implementation details. Teams that embrace this agent-collaborative approach will dramatically outpace those that don't, making the question not whether to adopt agentic coding, but how quickly you can integrate it into your workflow.

Bleu de Chanel L'Exclusif

Chanel's latest release, Bleu de Chanel L'Exclusif, officially launched on August 26, 2025, represents the most mysterious and intense expression of the iconic Bleu de Chanel lineage. Created by Olivier Polge as an Extrait de Parfum, this ambery-aromatic composition centers around New Caledonian sandalwood, resinous cistus labdanum, amber, and leather notes that create a warm, dense fragrance sitting closer to the skin than its predecessors. Opening with the familiar citrus blast of the Bleu de Chanel line, it quickly evolves into something more sophisticated as the labdanum becomes dominant, creating a smooth, incense-like presence with markedly improved longevity over the Parfum version.

The fragrance community's response has been mixed but generally positive, with reviewers praising its refinement while questioning its necessity within the existing ecosystem—one critic called it "the best designer release of 2025," though others find it redundant to the Parfum. At $205 for 60ml and $275 for 100ml, the pricing has drawn criticism, but the consensus suggests L'Exclusif successfully targets a more mature demographic seeking a sophisticated, grown-up interpretation of the Bleu de Chanel DNA.

CSS Optimization

I took a closer look at the blog's CSS today and noticed it had accumulated quite a bit of unused code over time. There were several classes like .highlight and .responsive-image that weren't actually being used anywhere, along with styles for HTML elements like abbr and dt that don't appear in any of the posts or templates.

After carefully going through and removing the unused bits, I found there were also some redundant font-family declarations scattered throughout — the same font was being specified multiple times when it only needed to be set once. I also spotted some performance-related CSS properties that seemed unnecessary for a simple static blog.

The cleanup managed to reduce the stylesheet from about 5KB down to 3.7KB, which is roughly a 27% reduction. Nothing looks different on the actual site, which was the goal — just cleaner code behind the scenes.

It's interesting how CSS can grow like this in any project that evolves over time. Features get added and refined, but the old styles often stick around even when they're no longer needed. Probably worth doing this kind of review more regularly to keep things tidy.

Study Plan

I'm working on an eight-month study plan to prepare for potential postgraduate study in AI. The plan starts with foundational reading including Bostrom's Superintelligence, Brian Christian's The Alignment Problem, and Melanie Mitchell's Artificial Intelligence: A Guide for Thinking Humans. This initial phase aims to provide context around ethical considerations and societal implications before tackling more technical material.

The next phase focuses on machine learning fundamentals through resources like Goodfellow's Deep Learning, Bishop's Pattern Recognition and Machine Learning, and fast.ai's practical tutorials. I hope to then explore natural language processing using Jurafsky and Martin's Speech and Language Processing, along with some hands-on projects involving language models and transformers, areas that might complement my linguistics background. The final months would revisit AI safety and governance topics while working on practical applications. The goal is to develop a basic understanding across theory, implementation, and ethical considerations.

Commissioner Font

Today I've updated the blog's typography system, migrating from a dual-font approach to Google Fonts Commissioner. This change brings a more unified visual identity while maintaining the readability improvements from the recent typography scaling updates.

Commissioner is a low-contrast humanist sans-serif with almost classical proportions, designed as a variable font. What makes it particularly appealing is its versatility — the variable weight axis allows smooth transitions from 100 to 900, though I'm using a focused range of 400-700 for optimal web performance. The humanist design provides excellent readability for extended reading sessions, while the variable weights give precise control over text hierarchy.

The previous system used Work Sans for body text and Montserrat for headings, which worked well but required loading two separate font families. By consolidating to Commissioner, I've reduced the number of font files while gaining more flexibility through the variable font technology. Body text renders at weight 400, while headings use weight 600, creating clear visual distinction without the need for separate typefaces.

Importantly, this update preserves all the responsive typography improvements implemented yesterday. The fluid clamp() scaling continues to ensure that headings guide rather than dominate, with smooth size transitions across all viewport widths. Commissioner's character fits naturally into these proportions, maintaining the balanced visual hierarchy that makes the content comfortable to read on any device.

From a technical perspective, the implementation uses Google Fonts' CSS API with automatic font-display: swap for optimal loading performance. The variable font format means a single WOFF2 file can handle all weight variations, reducing total download size compared to loading multiple static font files. This efficiency gain becomes more significant as the blog continues to grow.