AI 99
- ai-era interviews should test evidence, not leetcode muscle memory
- choosing the right agent surface: Codex, Claude Code, Copilot, and when not to use an agent
- review and verification: making agent code mergeable
- subagents and specialized agents: parallelism without chaos
- instructions as code: AGENTS.md, CLAUDE.md, and copilot-instructions.md
- the senior engineer's agent loop: context, plan, patch, proof
- how senior engineers should code with agents without becoming reviewers of chaos
- why Mal may beat Revolut: the first AI-native Islamic bank is not just adding a chatbot
- ai bills of materials are cluster inventory now
- your ai gateway is a cache scheduler now
- coding benchmarks are becoming production dependencies
- agent kits are turning developer docs into executable guardrails
- copilot telemetry is turning ai coding into observability work
- github copilot is becoming an ai budget control plane
- incident response is becoming an agent review workflow
- copilot browser tools make the frontend reviewable
- local AI runtimes are part of your attack surface now
- the best books for the agent era are still systems books
- the Kubernetes scheduler is becoming the AI capacity broker
- frontier models are becoming cloud procurement
- Agentic incident response is where autonomy meets the pager
- agents need shared memory, not another context window
- AI code governance is the new code review bottleneck
- plugin marketplaces are the new endpoint policy for coding agents
- Bring-your-own-model is a control plane problem
- agent sandboxes are the new enterprise desktop
- container escape is becoming an agent workload
- AI credits are the new lines of code metric
- your CI agent is reading more than your prompt
- AGENTS.md is becoming the new code review contract
- web search for agents is an evidence boundary
- aws finops agent makes cloud cost a runtime problem
- agent evaluation is becoming the new test pyramid
- hosted coding agents make observability a product feature
- agentic workflows are being domesticated by actions
- GitHub Actions is becoming the agent runtime
- prompts are becoming CI/CD configuration
- coding agents made repositories the security boundary
- permission prompts are not an agent security strategy
- enterprise context is becoming the new ai platform lock-in
- codex on AWS makes agents a cloud workload
- the developer laptop is the first production environment for agents
- agent canvases are the end of chat-only coding tools
- copilot automations turn agents into scheduled infrastructure
- AI code review is now a cloud workload
- even the CEOs are walking it back
- open-source coding agents need maintainers, not just models
- kubernetes dra is making ai hardware an api contract
- copilot cloud agent is becoming an automation api
- github's agent audit api is the boring feature that matters
- ai productivity gains are real, but smaller in production
- agent payments are the new cloud bill footgun
- cloud knowledge is becoming agent infrastructure
- cognitive debt is the ai code smell nobody wants to measure
- replit chased the ai hype and left a simple coding gap
- The High Individual Contributor Is Becoming a New Organizational Unit
- context management is the new debugging skill
- stop measuring ai agents by how much code they produce
- mcp catalogs are becoming the new internal developer portal
- agentic sre is where ai hype meets the pager
- containers are becoming policy wrappers for ai agents
- why the 'hand coding' backlash is really about agency, not nostalgia
- From capital one to unreviewed AI code the same ssrf, different decade
- measuring ai-assisted velocity without lying to yourself
- agentic terminals are eating the IDE (and why that is not entirely good)
- ai agent fluency is the new staff+ engineering skill
- Your Terminal Is Becoming a Governed AI Runtime
- AI Tools Have Shorter Half-Lives Than the Workflows They Automate
- tokens are now more expensive than juniors, and less predictable
- your second brain should not be a folder full of markdown
- github failed at the only thing they should do: git
- why agi is not possible with the current llms and transformers
- AI Coding Plans Are Getting More Expensive Because Flat-Rate Pricing Broke
- MCP Adoption Is Accelerating Faster Than Agent Governance
- Memory Design Is Becoming the Real AI Platform Bottleneck
- Better Models Won't Fix Unobservable AI Systems
- AI Infrastructure Is Becoming a Local Politics Problem
- The Multi-Agent Stack Is Replaying the Microservices Tooling Cycle
- AI Agent Governance Is Becoming the Real Internal Platform
- MicroVMs Are Becoming the New Container Boundary for AI Work
- AI Gateways Are Becoming the New API Management Layer for Model Traffic
- Architecture as Code Is How You Stop AI from Scaling Your Mistakes
- AI Agents Are Turning Platform Engineering Into Product Management for Compute
- The Software Engineer Job Apocalypse Is Still Not Happening
- A practical container-only philosophy for Software Engineer and AI Agents
- ARM CPUs for Local AI Agents — When Your Mac Becomes the Datacenter
- The LiteLLM Supply Chain Attack — What AI-Dependent Codebases Should Audit
- Containers Were Step One — Agent Sandboxes Are Step Two
- google antigravity vs other ai workflow agents
- Claude Cowork is what happens when chat is not enough
- A mix-salad names in AI world
- When 512,000 Lines of AI Tooling Suddenly Become Public
- Container-only philosophy for Software Engineer and AI Agents
- VS Code now has agents: what changed
- Stop Installing Runtimes on Your Laptop (AI Era Edition)
- Anthropic CEO predicted '90% of Code will be made by AI in 3–6 Months' The problem? The prediction was 6 months ago
- Why I'm Betting on UTCP as a Serious Alternative to MCP
- Memory vs Context and Why ChatGPT Is Ahead
- AI Moving Crazy Fast but Power Plug No 2025 06 15