Insights on AI, technology leadership, and building great tech teams.
Agency owners and PMs can now query live codebases and business data in plain English via Slack. Here's how codebase intelligence bots work and why they matter for agency operations.
AI coding agents speed up delivery but create real security risk. Learn how to sandbox agents safely without killing velocity — practical steps for startup engineering teams.
GitHub Copilot secretly edited ad links into a pull request — and it nearly shipped to production. Here's what founders must audit before AI coding tools become a supply chain liability.
Founders: learn how to spot which engineers are ready to manage, and why promoting at the right moment accelerates delivery instead of stalling it. Includes a concrete readiness scorecard you can apply to your team this week.
Kent Beck's forest thinning metaphor is the antidote to AI-generated code sprawl. Here's how startup founders and technical leads apply it without endless refactors or risky rewrites.
Stop letting your devs re-prompt Claude three times per task. This cheat sheet and workflow system cuts AI coding iteration time — no new tools required, implementable in under a day.
Founders: stop letting tech hype derail your team. Learn the friction-first audit framework for deciding what new tech actually earns a place in your startup's stack.
Flask creator Armin Ronacher's viral post explains why software always takes longer than expected — and what founders can do right now to forecast delivery honestly and stop the blame cycle.
Rob Pike's 1989 programming rules just hit 900+ HN points. Here's what they reveal about why startup engineering teams slip deadlines, ship fragile code, and how founders can use them to audit their team's habits today.
Chrome's new DevTools MCP lets teams record and replay full browser sessions. Here's how founders can mandate adoption to stop deadline-killing debug cycles and ship more predictably.
Anthropic's 1M token context window is now GA for Claude Sonnet 4.6 and Opus 4.6. Here's when it replaces your RAG pipeline, when it doesn't, and a step-by-step migration playbook for startup teams with production systems.
Founders who fear looking stupid in tech decisions stall delivery and become the bottleneck. This framework shows how intellectual vulnerability unblocks engineering teams and restores predictable shipping.
A single poisoned document in your vector store can silently corrupt every RAG-powered answer downstream — and your LLM guardrails won't catch it. This playbook gives founders and technical leads a concrete 5-layer defense architecture to harden their AI pipelines before an attacker finds the gap first.
Viral cost myths are distorting AI tool ROI for startup founders. Here's how to benchmark Claude Code against real inference economics and make a defensible adoption decision in 7 days.
For startup founders and engineering leads running local AI coding agents: a practical guide to macOS sandboxing that keeps dev productivity high without handing attackers your codebase — including a ready-to-use checklist and 7-day action plan.
A data-driven guide for startup founders and engineering leads on choosing cloud VM providers in 2026—how to audit your current setup, read benchmark data without getting lost in the noise, and make a defensible decision about whether to stay, optimize, or migrate.
For founders whose teams are adopting AI coding tools, this guide shows how structured acceptance criteria turn unreliable LLM output into predictable delivery — without adding process overhead.
Anthropic's Firefox collaboration proves AI-driven red teaming finds critical vulnerabilities faster than traditional pentesting. Here's how resource-strapped startup founders can apply the same approach — no security hire required.
For founders and startup CTOs: a practical framework to assess new AI model releases against real delivery outcomes—without chasing hype or breaking your stack. Includes a 4-question evaluation gate, pilot design checklist, and 7-day action plan.
Kent Beck's take on AI-driven delivery tools challenges the classic scope-time-cost tradeoff. Here's what founders with slipping deadlines need to know — and a 7-day audit to find your team's real constraint.
© 10ex.dev 2026
We can't find the internet
Attempting to reconnect
Something went wrong!
Attempting to reconnect
