Scheduling on Programmer.ie: Modern AI programming

Advanced Agents From First Principles 21: What Happens When Too Many Agents Compete for the Same Resources? Add Admission Control, Quotas and Backpressure

Sun, 09 Aug 2026 11:21:00 +0100

What Happens When Too Many Agents Compete for the Same Resources?

A single agent can look healthy in isolation.

It gets a request.

It calls a model.

It launches a few search branches.

It opens a browser.

It runs tests.

It asks a verifier to check the result.

Everything works.

Then production traffic arrives.

Ten agents start at once.

Then fifty.

Then five hundred.

Now every agent still has a perfectly reasonable local plan.

Advanced Agents From First Principles 16: Where Should an Agent Spend Its Compute? Build a Dynamic Budget Scheduler

Sun, 09 Aug 2026 10:53:00 +0100

Where Should an Agent Spend Its Compute?

A production agent has a budget whether you designed one or not.

Every model call costs something.

Every search node costs something.

Every tool invocation costs something.

Every verifier costs something.

Every retry adds latency.

Every escalation to a stronger model spends money and time that could have been used somewhere else.

The naive architecture gives every subsystem its own fixed limit:

MAX_STEPS = 20
MAX_SEARCH_NODES = 32
MAX_CRITIC_CALLS = 3
MAX_RETRIES = 4
MAX_VERIFIER_CALLS = 2

That looks safe.

Advanced Agents From First Principles 34: Where Should This Task Actually Run? Build Capability-Aware Placement Across Models, Providers and Resource Pools

Sun, 09 Aug 2026 00:00:00 +0000

A practical placement architecture for advanced agents: route work across local and frontier models, providers, regions, GPUs, browser pools and specialist runtimes using demonstrated competence, verifier availability, policy constraints, health, cost and latency rather than model prestige.