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A 747 pilot who wistfully noted that his highly skilled job offered no further opportunities for improvement or learning. The advent of AI coding agents makes programming feel somewhat familiar in cases of the nitty-gritty of code, as they reduce the need for deep understanding of underlying code.
Computer programming is still a valuable career despite the advent of AI, as the core skills of problem-solving and complexity control will always be essential. Junior programmers should still actively write code rather than rely solely on AI generation, as this hands-on experience is necessary for developing a deep understanding.
In the age of LLMs, tech writers must acquire new habits beyond basic documentation, as AI can automate many routine tasks. LLMs help automate keeping documentation up to date easily.
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Ghostty is a fast, cross-platform terminal emulator that uses native UI and GPU acceleration for a better, higher-performance experience.
Superset is a desktop terminal designed for developers to run, monitor, and manage multiple CLI coding agents concurrently in isolated worktrees.
US Secretary of War Pete Hegseth designated AI company Anthropic a "supply chain risk" for refusing military use of its AIs for surveillance and autonomous weapons, then quickly made a similar deal with OpenAI. However, OpenAI's stated safeguards have been criticized by many as they are not as transparent in their language compared to Anthropic.
Anthropic has launched a new memory import tool for Claude, allowing users to transfer their accumulated context and preferences from other AI providers like ChatGPT or Gemini. The process is simple: users paste a special prompt into their current AI, copy the output, and then paste it into Claude's memory settings. This easy transferability suggests there's still no good lock-in or moat in the LLM industry.
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Andrej Karpathy's microgpt is a 200-line, dependency-free Python project that distills the fundamental algorithms for training and inferencing a GPT.
Verified Spec-Driven Development (VSDD) is an AI-orchestrated software engineering methodology that fuses Spec-Driven, Test-Driven, and Verification-Driven Development with rigorous upfront specifications, formal verification, and adversarial review.
Software engineers can now vibecode custom software on-demand as they need it rather than pay for a subscription to another app.
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Serving inference on modern LLMs often fails to scale when GPU memory is constrained. Larger shared memory capacity lets you serve more users at lower latency, with less wasted compute. But true scalability doesn't require _more_ memory; it requires a distributed memory that behaves like it's local.
A $100M+ ARR AI company is crushing it - customers love the product, pipeline is strong. However, every deal closes on one-year terms. Not three. Not two. One. The reason is structural, not emotional. SaaStr recently switched AI sales agents by copy-pasting its best prompt into a competitor's product. Migration was 50-80% done in minutes. That's the new reality for AI agent companies. When gross retention drops from 92% to 82% because of prompt portability, you need an extra $10M in annual bookings just to stay even. The moat isn't your AI anymore. It's integration depth, vertical expertise, and infrastructure nobody wants to rebuild.
95th percentile seed valuations hit $80.5M last year, nearly 3x higher than six years ago. 42% of seed rounds were over $5M. One company raised a $2B "seed." The word seed is now applied to everything from $500K SAFEs to $15M equity rounds, making it functionally useless. The real shift is that institutional capital is now arriving at true formation stage for the first time - not through accelerators or angels, but dedicated inception funds writing $500K-$3M checks pre-product, pre-team, pre-traction. Before raising, founders should ask every prospective VC one question: What does success look like for your fund? The answer will reveal whether their incentives actually align with your stage.
Data companies without strong research DNA or volume advantages are collapsing or getting acquired because shifting RL research directions reward either frontier research leadership or rapid data scale, not generic RLaaS. Enterprise demand is moving toward subjective, self-serve post-training infrastructure as regulated environments, bespoke workflows, and reliability thresholds block direct model adoption. The winners combine top-tier research with field deployment engineers and full-stack post-training tooling, as sparse high-quality data, unverifiable tasks, and last-mile implementation become the real bottlenecks.
Agents will destroy aggregation moats. However, true network effects, where products improve with more participants, will become more viable in more categories and modalities. More businesses will start building for network effects because there are now new surface areas, modalities, and GTM approaches. Software isn't dead, but the business is transforming into something much different from what it is today.
The way software is shipping is changing. Instead of shipping code to solve a narrow task for all users, developers are shipping general-purpose agents that modify themselves to adapt to the environment and task. This makes the context the product. The value capture in an AI-powered software industry will come from the context and runtime layer, along with hardware and software co-design. Many companies will likely regret the investment in chips they are currently making.
Products that aren't lovable aren't viable in the market. The Minimal Lovable Product is the earliest version of a product that's genuinely lovable. Minimal Viable Products (MVPs) devolved into 'minimal functioning products' because dev work was expensive. However, costs are now collapsing. Building an MVP now just means building another tool people tolerate until they re-create it or a better one comes along. Lovability may be the last defensible moat.
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Vision-enabled AI that fixes frontend bugs in Chrome.
Turn any prompt into a shareable URL.
For years, the winning strategy in software was consolidation. Own the workflow end-to-end. Make it painful to leave. That model is cracking. Agents need open protocols and shared standards to do their job - they don't care about ecosystem boundaries. Users now expect to swap parts freely. The result is that Anthropic, OpenAI, Google, Microsoft, and AWS are all sitting at the same table contributing to shared agent protocols. Your moat is no longer lock-in. It's being the thing everything else connects to. If your platform is where value gets exchanged between tools, removing you breaks the whole workflow. The defensible position is a bridge, not a wall.
Everyone assumes AI will slash R&D budgets. The math doesn't work that way. Token costs are dramatically cheaper per unit of code produced, but Jevons Paradox kicks in hard. When something gets cheaper, you use more of it. Companies aren't cutting engineers. They're shipping more features faster and hiring more people to steer AI output. R&D as a percentage of revenue is going to stay flat or rise because every competitor gets access to the same productivity gains. The savings don't hit your bottom line. They get absorbed by the market.
Software stocks are getting crushed but almost no insiders are buying. Out of 75 public software companies, only a handful of executives have purchased stock in the open market over the past two years. Asana's CEO has bought over $1B of his own stock and lost billions in the process. The more interesting signal is at ServiceNow, where the CEO, CFO, CPO, and AI Officer all canceled their scheduled selling plans on the same day. The CEO then waited exactly six months from his last sale because of the short-swing profit rule before buying $3M worth. Sometimes the absence of selling tells you more than any purchase would.
The market for software will be ten times bigger in ten years, and AI-native startups will capture much of that growth.
Artificial intelligence, like past technology booms, is driving a new wave of speculative investment that could establish enduring infrastructure despite being viewed as a bubble.
David Teten has shifted his content strategy, focusing on proprietary, experiential, and reputationally costly insights instead of AI-generateable content.
The story of how Dragonfly grew to become one of the largest VC platforms in an industry that few have managed to survive in.
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ClickFix, Fake CAPTCHA, and ScreenConnect misuse are familiar threats, but they're still getting results.
A 2025 e‑commerce breach at Canadian Tire exposed data from over 38 million accounts, including names, contact details, hashed passwords, and partial card numbers, with under 150,000 records containing full dates of birth. Financial systems and in‑store transactions were reportedly unaffected, but 42 million records were added to Have I Been Pwned.
DIY marketplace ManoMano is notifying about 38 million affected customers after unauthorized access at a subcontracted customer service provider handling Zendesk-based interactions. Threat actor “Indra” claims to have compromised data for 37.8 million accounts, including names, emails, phone numbers, and support communications.
ShinyHunters is dumping Odido customer records in daily batches, exposing sensitive identifiers, bank details, and support notes, and threatening to escalate the leaks after already impacting more than a million accounts. Dutch police publicly support Odido's stance of refusing ransom payments and emphasize the need for rapid law enforcement engagement and anti‑phishing vigilance.
AmberWolf disclosed an RCE vulnerability in Delinea's Secret Server Protocol Handler (≤6.0.3.39) and Connection Manager (≤2.7.1) where improper sanitisation of the sslauncher:// URL handler's generic process launcher allowed a malicious server to supply attacker-controlled process names and arguments via encrypted launcher data, achieving arbitrary code execution on both Windows and macOS when a victim visits a crafted webpage and accepts a security prompt. The exploit, implementable as a NachoVPN plugin, abuses the legitimate key exchange flow to inject serialized launcher configurations that RDPWin.exe blindly executes via Process.Start(). Delinea patched the protocol handler as of January 17. Organizations should upgrade immediately and monitor for anomalous child processes spawned by RDPWin.exe.
Twitch's iOS app uses server-side Eppo SDK keys instead of client tokens, exposing over 260 unobfuscated production feature flags via a CDN endpoint that can be freely polled once a key is observed in traffic. The flags reveal Twitch's near-term roadmap. Hardcoded IDs, internal codenames, and future launches like “Elevate Prime 2026” are visible, turning feature flags into a live intelligence feed on product, security posture, and internal economics.
Many security products in Windows 10 and 11 use kernel Event Tracing for Windows (ETW) hooks to monitor process creation and be notified of potentially malicious activity. An attacker can bypass these checks by exploiting a race condition between the kernel's completion of the executive process object setup and the invocation of process-creation callbacks. Attackers can also use legacy APIs for process creation, which do not trigger process-creation callbacks.
MacNoise is a modular macOS telemetry-generation framework designed to help security teams validate EDR, SIEM, and firewall detection coverage by producing real system events across the network, process, file, TCC, and persistence categories. The tool includes MITRE ATT&CK-mapped modules, pre-built APT emulation scenarios, and OCSF 1.7.0-compliant audit logging for structured correlation. Scenarios can be dry-run previewed, chained via YAML, and output as JSONL for automated detection gap analysis.
Rustdesk is an open-source remote desktop application designed for self-hosting. An alternative to TeamViewer, it works out of the box with no configuration required. You have full control over your data, with no security concerns.
ksentinel is a Linux kernel module that monitors syscall table integrity, function prologues, and LSTAR MSR values using FNV-1a hashing to detect unauthorized modifications from rootkits such as PUMAKIT, Diamorphine, and KoviD. It covers 500+ syscall wrappers, plus critical VFS, networking, credential, and tracing functions, with anti-unload protection via a compile-time-generated unlock key. The module supports Linux versions 5.4 to 6.12+ on x86_64 and ARM64. It features configurable check intervals and a management script for live monitoring and violation alerts.
Researchers reported flaws in Gardyn Home and Studio, which exposed roughly 138,000 indoor smart gardens to unauthenticated, internet‑reachable remote compromise, including OS command execution via command injection and hardcoded admin credentials in the Gardyn IoT Hub and Azure IoT infrastructure. Thankfully, patches are out and auto‑delivered.
Nitro enclaves were introduced in 2020 to provide a trusted execution environment for security-sensitive applications. However, application development was more complex due to the execution environment's limitations. Last year, AWS launched EC2 instance attestation, which extends the security enclave to the full instance, enabling more use cases and improving usability at the cost of greater effort to secure the instance and increased deployment complexity. This post walks through the process of creating an application running on an EC2 instance with attestation, including a GitHub Actions workflow to build a hardened, attestable AMI.
This part of the UK's NCSC multi-part guide on implementing zero trust in an enterprise focuses on defining zero trust beyond the buzzword or a specific product. Zero trust defines a strategic shift where users are continually authenticated as opposed to a point-in-time authentication at the beginning of a session. It implies a defense in depth approach where controls are layered in a system and may work in conjunction with existing systems or replace them.
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