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While some developers fear AI will degrade code quality, coding agents can actually improve it by proactively addressing technical debt. Agents are great at handling time-consuming refactoring tasks, making it affordable to eliminate minor code smells and architectural inconveniences. Furthermore, AI tools allow developers to explore more options before finalizing designs.
Interview questions that ask candidates to "design a highly resilient database" without providing any context are pointless. For example, database resilience is entirely dependent on specific product requirements, such as data type, consistency needs (e.g., ACID for finance vs. eventual for IoT), and acceptable failure modes. Every database involves inherent tradeoffs.
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Dropped events. Endless retries. Customer complaints.
Understudy is a teachable AI desktop agent designed to operate a computer like a human colleague, learning tasks by demonstration. It extracts intent rather than just coordinates, interacting across the GUI, browser, shell, and other tools without requiring API integrations.
Rudel is an analytics dashboard designed for Claude Code sessions, offering insights into token usage, session duration, activity patterns, and model usage. This collected data includes comprehensive session details such as full prompt and response content, user/organization IDs, project paths, and Git context.
LLMs aren't continuously improving their programming abilities necessarily. LLM performance has gotten worse under the stricter criterion compared to the typical benchmarks. Statistical analysis of merge rates since early 2025 suggests a constant or piecewise constant trend, rather than a linear upward slope, indicating a stagnation in capability for over a year.
Amazon's own AI coding tool, Kiro, reportedly caused a 13-hour AWS outage in December after it autonomously decided to delete and recreate an environment. Amazon is calling it a user error due to misconfigured access controls, and says the same thing could've happened with any tool. However, multiple AWS employees told the Financial Times it was at least the second time Kiro had caused a disruption recently.
As the first engineer on TLDR's new Applied AI team, you'll build AI agents and composable Claude Skills to let non-technical teammates create their own AI workflows. Learn more [19].
Knowledge base poisoning can easily corrupt RAG systems into confidently reporting fabricated data.
OneCLI is an open-source credential vault and gateway that transparently injects API keys for AI agents, allowing them to access services without directly handling sensitive secrets.
Modern Rails 8 has an enjoyable, efficient workflow, with a "no-build" frontend, integrated backend solutions, and easy deployment.
While AI is great at generating functional code, it lacks the engineering judgment needed for architectural decision-making, which is the true challenge in having maintainable software systems.
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A growing company attracts fraudsters. They'll often strike when you're most distracted - launches, promos, funding announcements.
Fintech's primary moats reside in regulatory permissions, credit data, and risk-bearing capacity rather than replicable software code. While AI compresses margins for pure SaaS by commoditizing code, it strengthens fintechs that own their licenses and underwriting history. Competitive advantage is shifting away from UI toward those who control the "fin" side by managing money movement and proprietary risk models that AI optimizes but cannot replace.
Managers must be builders in 2026 because not building now is the bigger waste of time. They need to learn AI tools, and building is often the most efficient path for the team. The ability to build will be a key differentiator between teams that win and teams that drown in their own output. The gap between good management and bad management is now a lot wider.
For the last twenty years, the hardest part of building a tech company was the development itself. AI is dissolving that constraint. Companies no longer need to have large teams to ship products. This means Silicon Valley may no longer be the center of the tech industry. Companies needed to be near the engineers when the hard part was writing code, but they will now move to where the buyers actually are.
If you want the best designers, you have to go where they are and be someone they want to talk to. X is a good platform for designers who are exploring startup opportunities. Look for designers who actively follow tools and communities that signal taste. Most self-aware designers move quietly through trusted networks. Founders need to be plugged into those networks before they need them.
The fundamentals haven't changed nearly as much as people think. Strategy is still about articulating a clear 'why'. Product management is still about shipping the right product at the right time. The best fundraising pitch is the one you actually believe. The landscape around the fundamentals has changed, but there are still massive new opportunities hiding in plain sight.
AI has commoditized cold outreach, forcing a shift from outbound-only tactics to a multi-channel flywheel of content, community, and retargeting. ColdIQ nearly doubled revenue by using content to prime prospects, resulting in conversion rates 3x higher than traditional cold contacts. Success in 2026 requires building this organic distribution early, as the 6-12 month startup time creates a massive lead over competitors still relying on saturated outbound channels.
Tens of millions in ARR, $1.4B valuation, zero outbound sales calls ever. Usage-based pricing with a generous free tier means one engineer installs it for a side project and it spreads inside the company the way Figma did. Their newsletter has 75K subscribers and never mentions PostHog - just teaches engineers how to build better products.
Expressive text-to-speech and voice cloning platform.
Turn any website into a callable API.
Spot UX blind spots before writing code.
"Customer-first" isn't a strategy - nobody picks "customer-last." Real strategy means choosing between two good options where smart companies exist on both sides. "All-in-one" means you personally own every feature request forever. "Infinitely extensible" means your UX becomes a patchwork quilt. If the opposite of your strategy sounds stupid, you haven't decided anything.
If revenue is your North Star, your company is destined to die. Revenue-addicted companies kill every initiative that doesn't move the number this quarter, which is exactly the opposite of what you need during the AI transition when you have to make big product bets. Lovable swapped its North Star to daily active apps and built a qualitative "Lovable Score" combining NPS, PMF score, effort score, and CSAT. Revenue still matters, but it's the output of the system, not the thing you optimize for.
Individual AI gains often create organizational chaos and "slop" rather than firm-level value, mirroring the 30-year lag in productivity seen during factory electrification.
"What's your biggest pain point?" is dead as a discovery question.
System of Record businesses that don't own the AI layer on top of their platforms will see spend flowing around them - while they will get renewals, they won't see growth.
Selling skills is like selling the recipe, and you want to be in the cake business.
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AI is lowering the technical barrier for attackers, making phishing, scams, deepfakes, and prompt manipulation easier to launch at scale. Cato's AI in Cybersecurity certification [4] gives your team a clear, practical foundation on what is changing and how to respond.
PhantomRaven, an ongoing npm supply-chain campaign active since August 2025, has deployed 88 additional malicious packages across four attack waves, using slopsquatting to mimic projects like Babel and GraphQL Codegen with LLM-suggested package names. The campaign evades automated inspection via Remote Dynamic Dependencies (RDD), in which `package.json` points its dependencies to attacker-controlled external URLs, pulling and executing malware at `npm install` time rather than embedding it in the package itself. The payload harvests `.gitconfig`, `.npmrc`, environment variables, and CI/CD tokens from GitHub, GitLab, Jenkins, and CircleCI before exfiltrating to EC2-hosted C2 infrastructure, with 81 packages still live in the registry as of this writing.
BeatBanker is a dual-mode Android Trojan distributed via a fake Google Play Store page that targets Brazilian users. Once active, it overlays fake screens on crypto apps like Binance and Trust Wallet to silently swap USDT destination wallet addresses, while also deploying the BTMOB RAT for full remote access, including camera, mic, GPS, and remote wipe. It plays an inaudible 5-second audio loop to prevent the OS from killing its background process. Treat unsolicited Accessibility permission requests as an immediate red flag and avoid sideloading APKs from third-party sites.
In 2024, Chinese CDN firm Funnull bought Polyfill[.]io and then used cdn.polyfill[.]io to push malicious JavaScript that redirected visitors to gambling and adult pages. Hudson Rock later linked Funnull to North Korean operators using LummaC2 infostealer data from a hacked North Korean hacker device, which exposed logins for Funnull DNS and the Polyfill Cloudflare tenant. The traffic went into Suncity Group gambling sites to launder large amounts of cryptocurrency back to North Korea and also exposed a separate North Korean agent inside crypto exchange Gate.
Hunt.io uncovered an exposed open directory on 203.161.50[.]145 containing a complete APT28 Roundcube exploitation toolkit. This toolkit overlaps with 14 TTPs observed in Operation RoundPress, targeting Ukraine's State Migration Service using XSS payloads that simultaneously harvest credentials through hidden autofill forms, install persistent Sieve forwarding rules to advenwolf@proton[.]me, bulk exfiltrate emails via the viewsource API, extract TOTP secrets, steal address books, and deploy Chrome/Firefox credential stealers. New capabilities not previously linked to APT28 include a CSS selector side-channel attack for CSRF token extraction, a Go-based Linux backdoor with cron, systemd, and SELinux persistence mechanisms, along with container escape detection scripts. These scripts indicate regular targeting of Docker and Kubernetes environments. Defenders using Roundcube should immediately review all Sieve forwarding rules, implement a strict Content Security Policy that blocks eval() and external resource loading, monitor for bulk viewsource API requests and CSS @import chains with incrementing query parameters, and consider password resets insufficient without full 2FA re-enrollment and session invalidation.
Weightsquatting is a supply-chain attack that manipulates token-space weights in open-weight LLMs to bias code-generation output toward attacker-chosen package names, surviving format conversion, 4-bit quantization, and GGUF export. Llama 3.2 and Qwen 2.5 accepted the poisoned edits cleanly while remaining coherent, whereas DeepSeek models either collapsed visibly or reasoned past the manipulation. Organizations deploying local coding assistants should implement routine behavioral validation of model artifacts against known-good dependency outputs before production use.
Many LLM users try to prompt an LLM the same way that they search Google: using keywords instead of rich prompts. The author of this post presents some tricks to more effectively prompt an LLM, such as role stacking, being explicit about the desired technology stack, requesting thoroughness, asking for validation, and thinking in terms of long-term systems vs. point-in-time solutions. They stress the importance of keeping humans in the loop to add judgment and intuition.
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Claude, Cursor, and Copilot use MCP, skills, and shell commands to access credentials and environments — all unmonitored and ungoverned. If your team can't inventory what's running, you can't secure it. MCPTotal [12] runs a complimentary Shadow AI Discovery Report that maps AI agents and tools on endpoints across your
n.eko is a self-hosted virtual browser that runs in Docker and streams a full desktop environment to multiple simultaneous users over WebRTC with built-in audio support. Security-relevant use cases include containerized throwaway browsing with Tor, a VPN-backed isolated session, a jump host for internal app access without VPN, and an automated browser for Playwright/Puppeteer workflows with live interception.
VM.Analyst is an AI agent that ingests and normalizes data from existing security tools, then provides contextual, prioritized vulnerability-risk insights and remediation recommendations.
A lightweight security threat scanner intended to make malware detection more accessible and efficient.
Mandiant's 2026 hardening guide covers five core focus areas for defending against destructive cyberattacks: external-facing asset hardening, critical asset and backup protections, on-premises lateral movement controls, credential and account protections, and Kubernetes/CI/CD pipeline security. The guide provides prescriptive, actionable controls spanning MFA enforcement, virtualization enclave architecture, AD CS hardening, NTLM restriction, WDigest disablement, and LAPS deployment, each paired with MITRE ATT&CK-mapped detection opportunities. Organizations operating hybrid or cloud environments should treat this as a living reference, particularly given the guide's coverage of hypervisor-level disk swap attacks, immutable backup architecture, and CI/CD supply chain compromise scenarios.
INC's affiliates have shifted from initial US/UK targeting into Australia, New Zealand, and Tonga, hitting hospitals, clinics, and ministries using purchased credentials, phishing, and known-vuln exploits. Australia logged at least 11 incidents since mid-2024. A Tongan MoH intrusion disrupted national health services, and a New Zealand provider had data stolen, encrypted, and leaked.
Researchers found nine cross-tenant issues in Google Looker Studio that allowed arbitrary SQL on connected data sources and broader GCP projects, including BigQuery, Spanner, PostgreSQL, MySQL, and Google Sheets. Attackers could hijack reports, reuse stored credentials, and trigger one-click data exfiltration via crafted reports and browser-side code.
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Remote monitoring and management (RMM) abuse often starts with phishing. This allows attackers to exploit legitimate, pre-installed