AI makes it easier than ever to add more features, animations, code – but more output doesn't equal better products. Great software stems from deep understanding and judgment: knowing what to remove, what to leave alone, and what not to build at all. In the age of AI, knowing what not to build may be the most valuable skill.
The phrase "the customer is always right" is widely misquoted – its original form includes a crucial qualifier: "in matters of taste." Attributed to Harry Gordon Selfridge and other early 20th-century retailers, it was meant to counter paternalistic merchants who imposed their preferences over customers' subjective choices. The principle applies to taste-based decisions in retail, food, and creative services, but not to factual disputes, safety, legal compliance, or staff mistreatment – where other standards must hold.
Justified rebranded AI procurement platform Brightfield to better reflect the sophistication of its product, centering the identity around the concept of "Proven Intelligence" to emphasize trust and evidence over typical AI visual clichés. The new brand uses a geometric cube system, a distinctive dimensional "B" logo, a refined typography and color palette, and showcases the product itself as proof of its capabilities, while giving the TDX AI platform its own connected visual identity. Since launch, the redesign has been well received internally and externally, helping align teams around a more modern, credible brand that better communicates Brightfield's value.
WCAG compliance is a critical but insufficient baseline for true digital accessibility – a technically conformant product can still be unusable for people with disabilities, much like a wheelchair ramp blocked by a telephone pole.
Ana Terral creates delicate alcohol-marker illustrations that explore identity, memory, and the physical traces of desire, capturing the tension between beauty and pain through soft, skin-like depictions of the human body.
A rapidly growing startup faced challenges with its outdated billing system, which became increasingly complex due to numerous workarounds and unrecorded business rules. By simplifying the data model and implementing targeted changes in response to user feedback, the team successfully automated invoicing, reducing processing time from a week to two days.
This tutorial provides a guide on setting up a local coding agent using open-source tools and models, focusing on the advantages of local setups over proprietary services. Local LLMs have transparency, control, cost-effectiveness, and privacy. Additionally, best practices for evaluating model performance, ensuring safety during implementation, and optimizing local environments are discussed to support effective and responsible use of local coding agents.
2026.06.29·
magazine.sebastianraschka.com·36 min read·TLDR Dev
Service workers have seen diminishing relevance due to complications like ineffective caching strategies and the rise of simpler alternatives. While they offer unique functionalities such as offline support and background sync, many use cases can be handled more efficiently without them.
The job market for devs is experiencing shifts due to the rise of AI, leading to massive layoffs and a decrease in the perceived value of software roles. As software becomes easier to create and more people can evaluate it, the industry is moving towards a landscape where companies focus on selling services rather than products.
The integration of AI into software engineering has transformed the developer's workflow, shifting the focus from creative coding to supervising AI-generated code. This reliance on AI risks eroding skills and knowledge among developers, as complex problems may be sidelined.
TextBee is an open-source SMS gateway that allows users to send and receive SMS messages through a web dashboard or REST API, using their own Android devices for messaging capabilities.
OpenPencil is an open-source, AI-native vector design tool that allows users to create UI designs from natural language prompts, using concurrent agent teams and code export capabilities across multiple frameworks.
The Fintech Engineering Handbook outlines essential software engineering principles and patterns for building trustworthy financial systems that accurately handle money through rigorous data integrity, clear tracking of transactions, and proper interaction with external services.
Semgrep's recent tests showed that the GLM 5.2 open-weight model outperformed Claude Code in detecting Insecure Direct Object References (IDORs) despite lacking the advanced harnessing capabilities used by Semgrep's multimodal pipeline.
The rise of AI in mathematics has sparked a debate among researchers about the role of human mathematicians, their motivations, and the future of the discipline, as AI systems begin to tackle tasks previously considered solely human endeavors. While some mathematicians envision a collaborative future where humans and AI work together to solve complex problems, concerns persist about the potential for AI to diminish critical thinking and creativity.
The 12-factor agents framework outlines principles for building reliable software powered by LLMs, focusing on the integration of modular concepts and effective engineering techniques to improve the quality and scalability of AI applications for production use.
POSIX is a specification rather than a specific shell, leading to inconsistencies in script behavior across different shell implementations, and true portability requires validation across multiple shells rather than just compliance claims.
The concept of "tokenmaxxing” was once seen as a reckless approach to spending token resources in businesses, but may have evolved from misguided applications to a more strategic deployment in AI.
AI agents are changing how software gets discovered, recommended, and implemented. They are increasingly influencing implementation and recommendations, giving open-source and API companies a stronger distribution advantage. Agents need software they can understand, test, and use. Open source provides context, and APIs, SDKs, and integrations give them a way to act.
As venture firms grow into massive asset managers, they become structurally incapable of pursuing smaller opportunities, creating a split between capital agglomerators chasing trillion-dollar outcomes and smaller investors serving the increasingly neglected long tail.
People want to see the human behind the product. They want to see their faces, how they think, and the choices they agonized over. People are hesitant to build in public but this is usually due to misconceptions about what that actually means. This post provides four examples of what 'good' building in public looks like. It also dispels some of the misconceptions that may be stopping founders from building in public.
Replacing a traditional contact form with an AI inbound agent helped book 614 qualified meetings across 2.25 million website sessions and 402,000 interactions without adding sales headcount. Beyond answering questions, the agent routes leads based on close-rate data, runs automated re-engagement campaigns, and manages discounting within predefined guardrails to capture revenue that would otherwise be lost.
Even simple finance tasks take multiple steps. [8]Mercury Command is AI built directly into your account that eliminates that. Say "pay this invoice" or "freeze that card" — and Command does the work. You approve every action. No dashboards, no exports, no friction. Try
Notion Database allows developers to continuously upsert external records. Notion Agents can use custom tools to generate assets, query live data, and hit any API. Notion workflows can be triggered from anywhere using webhooks from any app. Notion Workers are hosted on isolated sandboxes managed by Notion. Developers can use external agents or custom agents within Notion.
OpenTag enables users to run AI agents inside Slack. It is like having Claude in the workspace, except open-source and self-hosted. OpenTag is built on CopilotKit's open SDK for chat-platform agents. A video of the tool in action is available in the repository.
Not all companies have a moat straight away. Some moats need to be earned. It can take years to build scale, brand, networks, and infrastructure. The moat is still real, even if it shows up later.
The US government now effectively decides who gets access to the newest frontier model. OpenAI's GPT-5.6 is rolling out consumer by consumer under government approval, right after Anthropic was forced to pull a model entirely. This quietly turns access and governance into the scarce thing, just as Chinese labs ship their best models openly to anyone. If it holds, where you can even get capability starts to matter as much as how good it is.
Twitch builds stronger creator loyalty by treating live streaming as a community experience instead of an endless content feed. It encourages creators to use short form video on other platforms for discovery and live streams on Twitch to build deeper audience relationships and revenue. It avoids aggressive recommendations because constant content suggestions pull viewers away from creators, but it is adding a Recaps feature that lets creators share clips from recent streams to improve discovery. Twitch also sees more creators beyond gaming, and its CEO said about 70% of actors and musicians he meets have considered creating content on the platform.
Prime Day data points to a cautious US consumer who's still spending, but only when discounts and timing align. Total online spend hit $26.4B, up 9.3% year over year, driven by heavier promotions and shoppers trading up into electronics, appliances, and essentials they already planned to buy. Tax refunds and back-to-school prep added short-term demand, but most behavior reflects budget stretching rather than new spending power. Discounts stayed roughly flat versus last year, yet shoppers still waited for deals and kept basket sizes smaller.
Strong billboard creative matches the message to audience awareness instead of trying to say everything at once. Start by helping the right audience recognize the ad, then communicate one clear idea in 6-8 words that explains the problem, the product, or the differentiation based on how familiar people are with the brand. Design for speed by using large text, high contrast, a readable logo, and visuals that support a single concept because most people only have 3-6 secs to process the ad.
Most teams rely on a content calendar that just tells them what to post. A creative engine goes further and connects content to strategy through 3 things: a specific audience, a clear point of view, and content that consistently reflects both. It starts by defining who it's really for, not a broad category but a specific person with a specific problem. Then it locks in a point of view, the belief that shows up before any product pitch. Finally, it checks whether every piece of content actually reflects that perspective instead of sounding like every other brand in the space.
Content audits don't need to start as big systems. Start with a single article, run an audit, then turn it into a reusable Claude skill and refine it each time you use it. In Claude, one page becomes the entry point for workflows that improve over time through iteration. Key workflows include brand voice checks built from real writing samples, coverage comparisons against top-ranking pages, freshness audits that flag outdated or time-sensitive claims, and AEO checks that ensure answers appear early and are easy for AI systems to extract and quote. At the library level, performance triage surfaces underperforming pages and topical gap analysis maps missing coverage across key entities.
Ahrefs' Crawled Pages report lets you see what competitors are publishing in near real time, even content that isn't surfaced on their blog or hubs. Filter for 200 status pages and sort by “First seen” to surface newly discovered URLs. It's a quick way to reverse-engineer content strategy and spot what topics competitors are actively pushing.
We're hiring a senior PMM to own product marketing at TLDR. You'll define our positioning, build out sales enablement, and lead every launch. Learn more [15].
Experimentation is shifting away from small UI tweaks toward bigger, system-level bets. AI removes much of the need for manual personalization and surface optimization, while faster product cycles make incremental gains short-lived. Monetization and engagement become the highest-leverage areas to test, not quick conversion lifts. Tests need to run longer to capture downstream impact across the product. Minor changes can be handled by AI or skipped using proven defaults, freeing teams to focus on deeper product and pricing changes that drive real growth.
Non-sponsors are outpacing official World Cup partners on social. Brand collabs drove 61M engagements vs 33M for sponsors, and more total mentions. Nike pulled 70M YouTube views without sponsorship, while Adidas hit 7M. Even Levi's, blocked in-stadium, leaned into social and saw mentions jump 44% and engagement 4X.