The honest framing
Autonomous AI platforms — Devin, Factory.ai, Blitzy, Cognition's broader stack, the next three that will ship between when this is written and when you're reading it — exist because certain engineering tasks genuinely don't need a human in the loop. They're fast. They run in parallel. They don't sleep. When the task matches what they're built for, they're the right call.
We're a 7-person senior core that uses Claude Code and Cursor every hour of every day. We don't replace those tools. We use them. The difference is which side of the cursor the accountability lives on.
Pick the autonomous AI platform when:
- The task is well-bounded and well-specified. A bug ticket with a reproducer. A test that needs to exist. A migration from one ORM API to another. Tasks where the answer is a function of the prompt, not of the judgment in the room
- You already have a senior engineer reviewing everything that lands. Autonomous agents work best as a velocity multiplier for an existing team — they file 40 PRs a day and your staff engineer merges the 12 that pass review. Without that reviewer, the slop compounds
- The blast radius is small. Internal tools, throwaway scripts, test scaffolding, doc generation. Places where a bad commit is easy to revert and nothing customer-facing breaks
- You want to pay per task, not per week. The per-task pricing model is the right shape for high- volume small jobs. We don't price that way and we shouldn't
- The codebase is in a language and framework the agent has seen a million times.Mainstream TypeScript/React, Python/Django, Java/Spring. The further you get from the training distribution, the more the agent improvises in ways you don't want
Pick ACM when:
- The work needs a product judgment, not just a code change.“Should this even be a feature?” “What's the simplest version that ships this week?” “Is the database schema going to bite us in six months?” Those aren't prompt-engineering problems
- You don't have a senior engineer in-house to review agent output. Running Devin without a reviewer is how you ship a hundred bugs faster. We bring the reviewer and the agent in one package — the senior engineer is the one driving the AI tools
- Something customer-facing or revenue-critical is at stake. Payment flows. Auth. Data migrations on production tables. Public APIs. Places where the wrong commit costs you actual money. Human accountability matters there
- The codebase is weird. Legacy PHP. A custom in-house framework. A Microsoft 365 estate with fifteen years of policy drift. Things the autonomous agents will confidently get wrong because the training data is thin
- You want a single named human to call when it breaks.A named senior engineer on the call, the same engineer in your repo, the same engineer when something is on fire at 9pm. Autonomous platforms don't have that shape and shouldn't pretend to
The shape we actually run
The interesting thing — and the part most positioning writeups skip — is that we use the same tools the autonomous platforms are built on. Claude Code is in our workflow every day. Cursor is in our workflow every day. We don't pretend AI isn't writing first drafts. The difference is the human stays at the wheel: a senior engineer who's read the diff before it lands, who owns the production page, who's on the hook when the feature has to evolve next quarter.
That's the shape: senior engineer plus AI. Faster than the big consultancy headcount model. More accountable than the autonomous agent model. The middle that ships.
The crossover case
Some engagements use both. We'll stand up an autonomous agent on the tedious migration work — schema renames, test scaffolding, doc updates — while the senior engineer focuses on the architectural calls and the customer-facing surfaces. We've done this. It works. The agent is a power tool in the senior engineer's hands, not a replacement for them.
If your team already runs Devin or Factory and you want the human reviewer layer that makes the velocity actually safe, that's a fit. Talk to us.
The fit-call question
When you're evaluating an autonomous platform — them or anyone else — ask:
“Who reviews what this thing ships? Who's accountable when it breaks production? Who do I call at 9pm?”
If the answer is “our in-house staff engineers,” you have the reviewer layer and the agent will probably pay off. If the answer is “the platform handles it,” read that as “nobody handles it.” Pick the shape where a named human is accountable for the diff.
Pick the shape that matches the work. If you're not sure whether your build needs autonomous velocity, human review, or both — that's exactly what the Fit Call is for.