Mike - Context Engineer since 2024
734 posts

Mike - Context Engineer since 2024
@Context_Mike
Founder @_contextstudios - AI native development Studio from Berlin. Started my coding journey in 2024 silently. Went “public” in Dec 25.
Berlin, Deutschland Katılım Mayıs 2011
545 Takip Edilen56 Takipçiler
Sabitlenmiş Tweet

The KPMG/PwC Claude deals are not seat-count stories.
They’re about distribution: regulated companies trust workflows that arrive through advisors inside tax, finance and diligence.
Trust-gate angle:
contextstudios.ai/blog/claude-kp…

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Codex 0.132 is less about a release note and more about a control surface.
If agents can resume with structured state, automation gets auditable instead of magical.
My take:
contextstudios.ai/blog/openai-co…

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Cheap coding-agent tokens are useful. Cheap unreviewed diffs are not.
My take on Cursor Composer 2.5: treat it as an execution lane, not a universal brain.
contextstudios.ai/blog/cursor-co…

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Vibe coding is fine for demos. For production, I want agentic engineering: tiny context packs, explicit plans, package rules, review loops, and evidence before merge.
contextstudios.ai/blog/agentic-e…

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Hermes v0.14 is the kind of release I watch closely.
Not because of one flashy feature — because it turns agent work into an operating-layer problem: identity, tools, proof, handoff.
contextstudios.ai/blog/hermes-v0…

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@jxnlco This is the healthiest AI-money take I've seen this week. The whole scene gets less weird once the scorecard stops being your identity.
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The AI consulting story just got way more concrete.
Anthropic and OpenAI are not just selling models anymore. They are building the teams that wire models into real workflows. My read 👇
contextstudios.ai/blog/ai-consul…
wary-platypus-754.convex.cloud/api/storage/fd…
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From vibe coding to structured builder.
5 Claude Skills for cleaner AI development.
👇 contextstudios.ai/blog/claude-sk… wary-platypus-754.convex.cloud/api/storage/51…
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@OpenAIDevs Hooks are huge because they turn agent behavior into policy instead of prompt folklore. Scoped tokens also make CI adoption way less scary for security teams.
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Codex is getting easier to automate and customize around your code.
🪝 Hooks customize the Codex loop with scripts that run at key points in a task:
• Run validators before or after work
• Scan prompts for secrets
• Log conversations to internal systems
• Create memories or customize behavior by repo or directory
⚙️ Programmatic access tokens provide scoped credentials for Business and Enterprise teams:
• Create tokens from ChatGPT workspace settings
• Use them in CI, release workflows, and internal automations
• Set expirations or revoke access when needed
• Keep usage tied back to the workspace
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@levelsio @home_assistant Home Assistant wins because it unifies the messy edges the device vendors ignore. Once the control plane is local again, every hardware brand becomes swappable.
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So @home_assistant solves this
Open source app with a device they sell that ties into all brands shitty IOT software to unshittify it
Samuel Karl Archer@SamuelkArcher
@levelsio I don’t understand why this is not solved I would like to personally control everything using homekit. No contract with any hardware providers. Same thing with security cameras
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@AnthropicAI The lead won't hold on model quality alone. The durable edge is deployment speed plus eval standards enterprises can actually audit.
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We've published a paper that explains our views on AI competition between the US and China.
The US and democratic allies hold the lead in frontier AI today. Read more on what it’ll take to keep that lead: anthropic.com/research/2028-…
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@OpenAI This is the first time async coding feels mobile-native instead of remote-desktop cosplay. Approval flows from the phone will change how teams run overnight tasks.
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@skirano Multiplayer canvas + live agent execution is the right direction. The real moat now is replayability so teams can step through every agent decision.
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@skirano Human + agent multiplayer is the right direction. The hard part is conflict handling once two agents touch the same code path at once.
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Codex Enterprise is interesting because OpenAI paired the free trial with the boring part that actually gets approved: OS-level sandboxing for local agent work. My read 👇
contextstudios.ai/blog/openai-co…
wary-platypus-754.convex.cloud/api/storage/3a…
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@steipete Love this. Once /review loops are automatic, the real bottleneck becomes the done condition and failing tests you actually trust.
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Wrote a skill that runs codex /review in a loop until there's no booboos anymore.
Caveat: It won't fix system architecture for ya, so you still need BRAIN as master model. github.com/steipete/agent…
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@perplexity_ai 74k tasks/week is the floor, not the ceiling. Once research workflows become habitual infrastructure rather than ad-hoc search, the switching cost is all the institutional memory baked into their prompts and workflows.
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PayPal runs 74,000 weekly tasks in Perplexity Enterprise.
Teams use it for model validation, channel performance, market trend research, competitive intelligence, and product analysis.
Read the customer story: perplexity.ai/enterprise/cus…
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Archon is interesting because it applies GitHub Actions thinking to coding agents.
Less prompt folklore, more pinned workflow rituals. This is where AI coding gets operational. 👇
contextstudios.ai/blog/archon-wo…

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@mweinbach This is the right way to use goal mode: give it a ceiling to chase, not just a task to finish. The benchmark becomes the manager.
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@thsottiaux Weekly larger releases sound less flashy, but probably healthier. Agents are stateful enough now that surprise behavior changes mid-week can cost more than they save.
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