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61 articles

The Self-Propagating npm Worm (April 2026): How postinstall Hooks Got Weaponized
Security

The Self-Propagating npm Worm (April 2026): How postinstall Hooks Got Weaponized

April 2026's self-propagating npm worm used postinstall hooks to scrape developer tokens (npm, GitHub, AWS), then auto-publish backdoored package versions. Detection steps, rotation playbook, and the structural defenses (ignore-scripts, pnpm, sandboxed CI, signed publishes).

12 min read·
The Vercel April 2026 Edge Function Incident: What Leaked, What to Do
Security

The Vercel April 2026 Edge Function Incident: What Leaked, What to Do

Vercel's April 6-9 edge function incident exposed env-vars and secrets in a subset of deployments. Timeline, scope, what was actually exposed, the rotation playbook for affected teams, and the structural defenses that prevent this next time.

11 min read·
MiniMax M2.7 Self-Evolving Agents: What "Self-Evolving" Actually Means
AI/ML Engineering

MiniMax M2.7 Self-Evolving Agents: What "Self-Evolving" Actually Means

The marketing says self-evolving; the engineering says adapter tuning + adaptive tool selection + memory consolidation on a static base. Honest breakdown of what M2.7 ships, when it wins, and when it doesn't.

10 min read·
Gemini 3.1 Pro for Developers: When It Beats Opus 4.7
AI/ML Engineering

Gemini 3.1 Pro for Developers: When It Beats Opus 4.7

Gemini 3.1 Pro tops the LM Council April 2026 board on GPQA Diamond and ARC-AGI-2 at 50% lower cost — but Opus 4.7 still leads on coding. The honest task-by-task decision guide.

10 min read·
Kimi K2.6 for Coding: The Cost-Performance Sweet Spot
AI/ML Engineering

Kimi K2.6 for Coding: The Cost-Performance Sweet Spot

Moonshot's Kimi K2.6 hits ~74% SWE-Bench Pro at $0.30 per typical run — 17-25x cheaper than Opus 4.7. Real benchmarks, where it falls short, and the two-tier routing pattern teams use in production.

9 min read·
GLM-5.1 vs Claude Opus 4.6: How Zhipu AI Caught Up on Coding
AI/ML Engineering

GLM-5.1 vs Claude Opus 4.6: How Zhipu AI Caught Up on Coding

Zhipu AI's GLM-5.1 beat Claude Opus 4.6 on SWE-Bench Pro at 7x lower API cost. Where the headline holds (batch coding, cost-sensitive loops) and where Opus still wins (subjective quality, agentic tool use, latency).

9 min read·
DeepSeek V4 Explained: 1T-Param MoE, Engram Memory, 1M Context
AI/ML Engineering

DeepSeek V4 Explained: 1T-Param MoE, Engram Memory, 1M Context

DeepSeek V4's 1T-parameter MoE architecture, the Engram learned-memory layer behind its 1M-token context window, real benchmarks vs Claude Opus 4.7 and GPT-5.4, API pricing, and the honest case for when to pick V4.

9 min read·
Vibe Coding in 2026: What Production Teams Actually Do
AI/ML Engineering

Vibe Coding in 2026: What Production Teams Actually Do

An honest look at where vibe coding works in production (greenfield prototypes, glue code, refactors), where it fails (payments, auth, hot paths), and the team norms that make it viable.

12 min read·
AI Coding Agent Pricing in 2026: Per-Seat vs Per-Task vs Self-Hosted Math
AI/ML Engineering

AI Coding Agent Pricing in 2026: Per-Seat vs Per-Task vs Self-Hosted Math

Real annual cost math for Claude Code, Cursor, Copilot, Codex, and self-hosted Aider across a 10-engineer team. The token-volume thresholds that flip the answer.

10 min read·

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