Stories from people dealing with Developer Tooling — what changed, who decided it, and what the ordinary days look like now.
11 stories
AI Industry & Models
Moving model names remove upgrade work, but they also weaken regression evidence and incident replay. Here is when to pin a snapshot and how to stage the next one.
Tobias Lund · August 9, 2026 · 8 min
AI Industry & Models
A two-tier model pipeline can lower inference spend, but only when escalation works before the cheap model produces a plausible mistake. The real comparison is total cost per accepted answer.
Tobias Lund · 8 min read
AI Industry & Models
A provider can update a model alias without changing your API request. Pin a snapshot where possible, then test the workflow’s outputs, latency, safety behavior, and tool calls.
Tobias Lund · 8 min read
AI Industry & Models
Page images preserve visual layout but erase many document-level relationships. A hybrid parser handles tables and scans without losing footnotes, headers, or cross-page references.
Tobias Lund · 7 min read
AI Industry & Models
OpenAI’s Responses API unifies model input and tool use, but it does not turn every Assistant, Thread, or Run into an equivalent object. Here is the migration map.
Tobias Lund · 8 min read
AI Industry & Models
Basic chat requests transferred unchanged in our test. Parallel tools, strict argument schemas, streamed calls and tool results exposed differences that require an adapter.
Tobias Lund · 7 min read
Agentic AI & Orchestration
A local canary page shows whether a browsing agent mistakes website text for instructions. The useful defenses constrain tools and expose proposed actions, rather than trusting one filter.
Mara Quintero · 8 min read
AI Industry & Models
A shared request format gets code talking to a second model. A 60-case replay test shows whether instructions, JSON, tools, refusals, and retries still behave.
Tobias Lund · 8 min read
AI Industry & Models
A support assistant can reuse the computation behind a static policy manual instead of processing it from scratch. The savings depend on keeping that manual at the start of every request, unchanged.
Tobias Lund · 7 min read
AI Industry & Models
Sending every file can turn one coding task into millions of repeated input tokens. Prefix caching helps, but a code map and selective loading usually cut cost, delay, and distraction further.
Tobias Lund · 8 min read
Agentic AI & Orchestration
An MCP connection does not create a new permission boundary. Follow one GitHub workflow to see where credentials go, what enters model context, and when a narrower direct integration is the better choice.
Mara Quintero · 8 min read
Other impacts
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