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Learn how to use Cursor to explore design styles, build smarter prototypes, and refine dashboards with AI. Discover tips for tailoring AI to your taste, syncing with Notion, and speeding up workflows using Cursor Rules.
Companies motivate best through intrinsic drivers - when people find meaning and satisfaction in their work. Leaders can foster this by offering meaningful challenges, encouraging growth, recognizing effort, and building belonging.
Consulting approaches differ between giving direct solutions (gap-focused) and encouraging teams to find their own answers through discussion (relationship-based). Managing this tension means choosing whether to follow your beliefs or fit organizational expectations thoughtfully.
Real product excellence requires pushing beyond comfortable consensus, demanding difficult conversations, and rejecting mediocrity disguised as collaboration.
SaaS products use either incremental AI as superficial add-ons or invisible AI seamlessly integrated to enhance user experiences.
There are hidden complexities beyond simple type-safety in managing URL state. Managing URL state well needs bidirectional serialization/deserialization, compact URL representations, and validation for data integrity. This article goes into the importance of time-safety by addressing browser rate-limiting on URL updates and explores strategies for managing immutable URLs.
Environment variables allow devs to modify program behavior without rebuilding. Secrets should never be stored in environment variables used in client-side code since they can then be seen by anyone.
The two best ways to write scalable Go applications are either use-case-driven architecture (like Git's command structure) or data-model-first approaches using repository patterns and three-layer architecture (model/service/storage). A consistent structure becomes necessary as teams grow.
Reviewing AI-generated code takes as long as writing it and submitting unchecked code is irresponsible in professional contexts. AI tools don't end up being multipliers as a result because they end up being a trade-off between speed and quality.
AI agents today are much more useful for writing code compared to six months ago. This developer uses a combination of Cursor, Claude Code, and v0, each working well in specific tasks like general programming, agentic loops, and UI design, respectively. Max effectiveness comes from using these agents alongside deterministic verification, like tests and typed languages, to allow AI agents to "self-heal" and correct errors.
AI is integrating into engineering workflows, offering productivity boosts. However, over-reliance on AI can lead to shallow reasoning, reduced technical ownership, and a decline in learning. Good AI integration focuses on automating repetitive tasks, accelerating prototyping, and validating ideas while still making sure engineers understand and own the final result.
Canine is a deployment platform designed for easier Kubernetes cluster management. It requires Docker and Docker Compose for installation. Canine provides real-time metric tracking and monitoring of Kubernetes clusters.
Motia is a modern backend framework that unifies APIs, events, background jobs, and AI agents into a single system using a core primitive called "Steps." These Steps, similar to React components for backends, can be written in JavaScript, TypeScript, Python, and Ruby and trigger various actions while sharing state and observability.
Vue Equipment is a free and open-source frontend toolkit for Vue. It has ready-to-use plugins and composables for building web apps.
AI is changing penetration testing (pentesting) by automating and scaling the process. Tools are uncovering vulnerabilities at a fast rate, with continuous, real-time security assessments integrated into the software development lifecycle. However, there are still challenges in complex bug detection, accountability, and scope.
Claude Code can be used to automatically generate codebase slide decks with Marp, allowing for team onboarding with a single command. It can also be scripted to create automated reports like a summary of the last week's code changes read aloud. This article experiments with using OpenAI's Codex as a sub-agent for Claude Code.
Preston Thorpe, currently incarcerated, has joined Turso as a software engineer, a dream job he attained through dedication and open-source contributions. He rekindled his passion for programming in prison and participated in a remote work program, eventually leading a development team at Unlocked Labs. His contributions to Turso's Project Limbo, a rewrite of SQLite, led to a job offer from the company.
Building accessible UIs is not only a moral imperative, but also good for developers because it improves debuggability, naming conventions, testability, and overall usability.
Code smells in TypeScript, like long functions and duplicated code, can lead to technical debt, but AI tools can help identify and automatically fix these issues to improve code quality.
Darklang, a statically-typed functional programming language, has been open-sourced under the Apache 2.0 license.
During the browser wars, Netscape and Microsoft compromised on a unified and standardized security protocol derived from Netscape's SSL 3.0, resulting in the creation of TLS 1.0 through collaborative negotiation and a name change to avoid the appearance of endorsing either company's technology.
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Bad sleep is like the opposite of a cheat code. It leaves you foggy, unproductive, and drained. Over time, it impacts your focus, immunity, and overall well-being.
Several multinational giants, including Walmart and Amazon, are discussing potential efforts to issue stablecoins. Whether these initiatives will go ahead depends on a bill still yet to clear the Senate and House called the Genius Act, which establishes a regulatory framework for stablecoins. Stablecoins could allow merchants to bypass traditional payment rails, which cost them billions of dollars in fees each year. A regulatory framework for stablecoins would enable an alternative payment type for merchants that could significantly lower their expenses and create competition against Visa and Mastercard.
Anne Wojcicki, co-founder and former CEO of 23andMe, has been named as the new buyer for the company's assets. Biotech company Regeneron won the bidding last month during a bankruptcy auction but bidding reopened earlier this month after Wojcicki's nonprofit, TTAM Research Institute, made an unsolicited offer. Regeneron declined to submit a higher bid based on its assessment of the company's value. If the sale goes through, 23andMe's equity holders could recover some of their investment in the company, a relative rarity in bankruptcy.
The European Space Agency-led Solar Orbiter spacecraft has imaged the Sun's poles from outside the ecliptic plane. The spacecraft's unique viewing angle will help scientists better understand the Sun's magnetic field, the solar cycle, and the workings of space weather. The complete dataset from Solar Orbiter's first full pole-to-pole flight past the Sun is expected to arrive on Earth by October 2025. A video of the Sun from an angle of 17 degrees below the solar equator - enough to deficiently see the Sun's south pole - is available in the article.
Lyndra Therapeutics has created a once-a-week pill for treating the symptoms of schizophrenia. The pill contains a widely used medication for managing the disease. A phase 3 clinical trial conducted by Lyndra Therapeutics showed that the patients who took the once-a-week pill maintained consistent levels of the medication just as well as daily doses of the drug. Making the drug easier to administer makes it easier to ensure that patients are receiving their medication.
This repository contains a collection of reusable rules and knowledge documents for AI coding assistants like Claude Code and Cursor. Categories include development workflows, code quality and analysis, problem solving and implementation, documentation and visualization, and project setup. The repository uses the Markdown with Configuration (.mdc) format, which provides a unified approach that works with both Claude Code and Cursor without modification.
The software engineering job market is currently in a pretty bad place. Despite this, software engineers have the unique ability to provide extraordinary leverage and productivity with the right attitude. It's now easier than ever to automate tedious and formulaic tasks. Anyone with software engineering skills can now take an annoying problem, write a prompt, then let AI create a solution.
Phil McKinney convinced HP's board to acquire Palm for $1.2 billion in early 2010 by demonstrating to the board how Palm's WebOS represented a breakthrough platform technology that could differentiate HP in the emerging mobile computing market. A few months after the acquisition, HP's CEO was replaced and McKinney faced a medical emergency that required immediate surgery and an eight-week recovery period confined to bed. During his time in recovery, McKinney was unable to participate in meetings or provide strategic input, resulting in the entire mobile computing landscape at HP unraveling as the new CEO brought a completely different strategic vision. HP ended up discontinuing all WebOS devices just 49 days after it launched the TouchPad.
Ageism has been a problem in tech for many years, and it doesn't look like that has changed. While age brings many positive qualities in terms of skill set, companies may be reluctant to hire older workers as their salary demands are higher and they have stronger work boundaries. Their seniority and directness can also intimidate younger managers and other workers. Younger workers are more likely to be flexible and build whatever without question, which is valuable for business owners.
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We also write TLDR AI. Same format, all about LLMs, GenAI, and deep
This post breaks down Anthropic's recent post on how it created its multi-agent research system and shows how running multiple different prompts in parallel can be more effective than running a single prompt against a frontier model.
Having a good shared definition for software complexity is essential to moving beyond a simplistic view of 'complexity bad, simplicity good'.
Google Search Audio Overviews is available now in Labs.
Reinventing the wheel will teach you more about how they work than reading a thousand books on them.
An amendment to Section 174 of the Internal Revenue Code made building tech companies in the US suddenly not economically viable.
The chief technology officers from Palantir and Meta will join representatives from OpenAI to form a new Army innovation corps to bring some badly needed tech upgrades to the Army - they will be sworn in as uniformed officers with the rank of lieutenant colonel.
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Baseten just released Training (beta). Built for training power users, Training provides the infrastructure to train without timeout or compute limits using any model or dataset.
AMD's MI400 will rival Nvidia's Blackwell chips with rack-scale architecture that enables thousands of GPUs to function as unified systems. The company claims 40% better tokens/$ compared to NVIDIA. Its roadmap includes a path to 20x rack-scale energy efficiency by 2030.
Meta's $14 billion acquisition of a 49% stake in Scale AI prompted Google to pull its planned $200 million contract for human-labeled training data over fears of exposing sensitive data to Meta. Microsoft, xAI, and OpenAI are also backing away from Scale AI over the same competitive concerns. The exodus benefits Scale's competitors, with Labelbox expecting "hundreds of millions" in new revenue as AI labs seek neutral data providers or move operations in-house.
Open-source intelligence researchers tested 20 AI models on 500 geolocation challenges using unpublished travel photos to ensure models couldn't rely on memorized training data. OpenAI's latest models outperformed Google Lens by cross-referencing architectural styles, vegetation patterns, and partially visible text, while competitors like Claude often managed only continent-level guesses. However, all models still hallucinated. "Deep research" modes paradoxically performed worse than standard versions.
ParetoQ is a new training algorithm that unifies binary, ternary, and 2-to-4 bit quantization, achieving state-of-the-art results across all levels.
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QA Wolf's [10] AI-native service gets web and mobile apps to 80% automated test coverage in less than 4 months.
Research from Waymo confirms that, similar to language modeling, increased data and compute resources can enhance the performance of autonomous vehicles. The finding has exciting implications for the development of autonomous vehicles as researchers and developers now know with certainty that enriching the quality and size of the data and models will deliver better performance. It opens up the possibility of devising more adaptive training strategies for planning tasks in robots.
There was a surprising consistency in the general eval frameworks discussed at the 2025 AI Engineer World's Fair. Most of them involved structuring inputs and how outputs are evaluated and evolving these inputs and evals based on real production usage. The more they can iterate, the better the experience they can deliver, so they try to make eval flywheels as quick and frictionless as possible. One of the key ideas is to have 'playgrounds' to make it easy to tweak a feature and run it against datasets and evals.
In this engineering blog post, Anthropic details its findings in prompt design, tool coordination, and production reliability challenges when orchestrating multi-agent systems. Its design uses an orchestrator-worker pattern where a lead agent spawns specialized sub-agents that search in parallel, far outperforming a single-agent Opus-based method. Token usage alone explains 80% of performance variance, with multi-agent systems consuming 15x more tokens than a regular chat but enabling much more complex research tasks.
A new training approach enables LLMs to generate "self-edits" that produce persistent weight updates through supervised fine-tuning. The framework outperformed GPT-4.1 despite using a smaller model, but suffered from catastrophic forgetting and required 15x more tokens than standard inference. This addresses the looming data wall and limitations on personalization and memory by enabling models to bootstrap their own improvement through self-generated training material rather than relying on external human-generated text.