/-- This follows this proof from
* Borceux, Handbook of categorical algebra 1, Theorem 2.13.4
although with different names.
-/
theorem colimitLimitToLimitColimit_surjective :
    Function.Surjective (colimitLimitToLimitColimit F) := by
  classical
    -- We begin with some element `x` in the limit (over J) over the colimits (over K),
    intro x
    -- This consists of some coherent family of elements in the various colimits,
    -- and so our first task is to pick representatives of these elements.
    have z := fun j => jointly_surjective'.{v, v} (limit.π (curry.obj F ⋙ Limits.colim) j x)
    -- `k : J ⟶ K` records where the representative of the
    -- element in the `j`-th element of `x` lives
    let k : J → K := fun j => (z j).choose
    -- `y j : F.obj (j, k j)` is the representative
    let y : ∀ j, F.obj (j, k j) := fun j => (z j).choose_spec.choose
    -- and we record that these representatives, when mapped back into the relevant colimits,
    -- are actually the components of `x`.
    have e : ∀ j,
        colimit.ι ((curry.obj F).obj j) (k j) (y j) = limit.π (curry.obj F ⋙ Limits.colim) j x :=
      fun j => (z j).choose_spec.choose_spec
    clear_value k y
    -- A little tidying up of things we no longer need.
    clear z
    -- As a first step, we use that `K` is filtered to pick some point `k' : K` above all the `k j`
    let k' : K := IsFiltered.sup (Finset.univ.image k) ∅
    -- and name the morphisms as `g j : k j ⟶ k'`.
    have g : ∀ j, k j ⟶ k' := fun j => IsFiltered.toSup (Finset.univ.image k) ∅ (by simp)
    clear_value k'
    -- Recalling that the components of `x`, which are indexed by `j : J`, are "coherent",
    -- in other words preserved by morphisms in the `J` direction,
    -- we see that for any morphism `f : j ⟶ j'` in `J`,
    -- the images of `y j` and `y j'`, when mapped to `F.obj (j', k')` respectively by
    -- `(f, g j)` and `(𝟙 j', g j')`, both represent the same element in the colimit.
    have w :
      ∀ {j j' : J} (f : j ⟶ j'),
        colimit.ι ((curry.obj F).obj j') k' (F.map ((𝟙 j', g j') : (j', k j') ⟶ (j', k')) (y j')) =
          colimit.ι ((curry.obj F).obj j') k' (F.map ((f, g j) : (j, k j) ⟶ (j', k')) (y j)) := by
      intro j j' f
      have t : (f, g j) =
          (((f, 𝟙 (k j)) : (j, k j) ⟶ (j', k j)) ≫ (𝟙 j', g j) : (j, k j) ⟶ (j', k')) := by
        simp only [id_comp, comp_id, prod_comp]
      erw [Colimit.w_apply', t, FunctorToTypes.map_comp_apply, Colimit.w_apply', e, ←
        Limit.w_apply' f, ← e]
      simp
    -- Because `K` is filtered, we can restate this as saying that
    -- for each such `f`, there is some place to the right of `k'`
    -- where these images of `y j` and `y j'` become equal.
    simp_rw [colimit_eq_iff.{v, v}] at w
    -- We take a moment to restate `w` more conveniently.
    let kf : ∀ {j j'} (_ : j ⟶ j'), K := fun f => (w f).choose
    let gf : ∀ {j j'} (f : j ⟶ j'), k' ⟶ kf f := fun f => (w f).choose_spec.choose
    let hf : ∀ {j j'} (f : j ⟶ j'), k' ⟶ kf f := fun f =>
      (w f).choose_spec.choose_spec.choose
    have wf :
      ∀ {j j'} (f : j ⟶ j'),
        F.map ((𝟙 j', g j' ≫ gf f) : (j', k j') ⟶ (j', kf f)) (y j') =
          F.map ((f, g j ≫ hf f) : (j, k j) ⟶ (j', kf f)) (y j) :=
      fun {j j'} f => by
      have q :
        ((curry.obj F).obj j').map (gf f) (F.map ((𝟙 j', g j') : (j', k j') ⟶ (j', k')) (y j')) =
          ((curry.obj F).obj j').map (hf f) (F.map ((f, g j) : (j, k j) ⟶ (j', k')) (y j)) :=
        (w f).choose_spec.choose_spec.choose_spec
      rw [curry_obj_obj_map, curry_obj_obj_map] at q
      -- porting note: Lean 4 `dsimp` unfolds `gf` and `hf` in `q` :-(
      -- See discussion at https://leanprover.zulipchat.com/#narrow/stream/270676-lean4/topic/.60dsimp.60.20unfolding.20local.20lets
      simp_rw [← FunctorToTypes.map_comp_apply, CategoryStruct.comp] at q
      convert q <;> simp only [comp_id]
    clear_value kf gf hf
    -- and clean up some things that are no longer needed.
    clear w
    -- We're now ready to use the fact that `K` is filtered a second time,
    -- picking some place to the right of all of
    -- the morphisms `gf f : k' ⟶ kh f` and `hf f : k' ⟶ kf f`.
    -- At this point we're relying on there being only finitely morphisms in `J`.
    let O :=
      (Finset.univ.biUnion fun j => Finset.univ.biUnion fun j' => Finset.univ.image
        (@kf j j')) ∪ {k'}
    have kfO : ∀ {j j'} (f : j ⟶ j'), kf f ∈ O := fun {j} {j'} f =>
      Finset.mem_union.mpr
        (Or.inl
          (by
            rw [Finset.mem_biUnion]
            refine' ⟨j, Finset.mem_univ j, _⟩
            rw [Finset.mem_biUnion]
            refine' ⟨j', Finset.mem_univ j', _⟩
            rw [Finset.mem_image]
            refine' ⟨f, Finset.mem_univ _, _⟩
            rfl))
    have k'O : k' ∈ O := Finset.mem_union.mpr (Or.inr (Finset.mem_singleton.mpr rfl))
    let H : Finset (Σ' (X Y : K) (_ : X ∈ O) (_ : Y ∈ O), X ⟶ Y) :=
      Finset.univ.biUnion fun j : J =>
        Finset.univ.biUnion fun j' : J =>
          Finset.univ.biUnion fun f : j ⟶ j' =>
            {⟨k', kf f, k'O, kfO f, gf f⟩, ⟨k', kf f, k'O, kfO f, hf f⟩}
    obtain ⟨k'', i', s'⟩ := IsFiltered.sup_exists O H
    -- We then restate this slightly more conveniently, as a family of morphism `i f : kf f ⟶ k''`,
    -- satisfying `gf f ≫ i f = hf f' ≫ i f'`.
    let i : ∀ {j j'} (f : j ⟶ j'), kf f ⟶ k'' := fun {j} {j'} f => i' (kfO f)
    have s : ∀ {j₁ j₂ j₃ j₄} (f : j₁ ⟶ j₂) (f' : j₃ ⟶ j₄), gf f ≫ i f = hf f' ≫ i f' := by
      intros j₁ j₂ j₃ j₄ f f'
      rw [s', s']
      -- porting note: the three goals here in Lean 3 were in a different order
      exact k'O
      swap
      · rw [Finset.mem_biUnion]
        refine' ⟨j₁, Finset.mem_univ _, _⟩
        rw [Finset.mem_biUnion]
        refine' ⟨j₂, Finset.mem_univ _, _⟩
        rw [Finset.mem_biUnion]
        refine' ⟨f, Finset.mem_univ _, _⟩
        simp only [true_or_iff, eq_self_iff_true, and_self_iff, Finset.mem_insert, heq_iff_eq]
      · rw [Finset.mem_biUnion]
        refine' ⟨j₃, Finset.mem_univ _, _⟩
        rw [Finset.mem_biUnion]
        refine' ⟨j₄, Finset.mem_univ _, _⟩
        rw [Finset.mem_biUnion]
        refine' ⟨f', Finset.mem_univ _, _⟩
        simp only [eq_self_iff_true, or_true_iff, and_self_iff, Finset.mem_insert,
          Finset.mem_singleton, heq_iff_eq]
    clear_value i
    clear s' i' H kfO k'O O
    -- We're finally ready to construct the pre-image, and verify it really maps to `x`.
    -- ⊢ ∃ a, colimitLimitToLimitColimit F a = x
    fconstructor
    · -- We construct the pre-image (which, recall is meant to be a point
      -- in the colimit (over `K`) of the limits (over `J`)) via a representative at `k''`.
      apply colimit.ι (curry.obj (swap K J ⋙ F) ⋙ Limits.lim) k'' _
      dsimp
      -- This representative is meant to be an element of a limit,
      -- so we need to construct a family of elements in `F.obj (j, k'')` for varying `j`,
      -- then show that are coherent with respect to morphisms in the `j` direction.
      apply Limit.mk.{v, v}
      swap
      ·-- We construct the elements as the images of the `y j`.
        exact fun j => F.map (⟨𝟙 j, g j ≫ gf (𝟙 j) ≫ i (𝟙 j)⟩ : (j, k j) ⟶ (j, k'')) (y j)
      · -- After which it's just a calculation, using `s` and `wf`, to see they are coherent.
        dsimp
        intro j j' f
        simp only [← FunctorToTypes.map_comp_apply, prod_comp, id_comp, comp_id]
        calc
          F.map ((f, g j ≫ gf (𝟙 j) ≫ i (𝟙 j)) : (j, k j) ⟶ (j', k'')) (y j) =
              F.map ((f, g j ≫ hf f ≫ i f) : (j, k j) ⟶ (j', k'')) (y j) :=
            by rw [s (𝟙 j) f]
          _ =
              F.map ((𝟙 j', i f) : (j', kf f) ⟶ (j', k''))
                (F.map ((f, g j ≫ hf f) : (j, k j) ⟶ (j', kf f)) (y j)) :=
            by rw [← FunctorToTypes.map_comp_apply, prod_comp, comp_id, assoc]
          _ =
              F.map ((𝟙 j', i f) : (j', kf f) ⟶ (j', k''))
                (F.map ((𝟙 j', g j' ≫ gf f) : (j', k j') ⟶ (j', kf f)) (y j')) :=
            by rw [← wf f]
          _ = F.map ((𝟙 j', g j' ≫ gf f ≫ i f) : (j', k j') ⟶ (j', k'')) (y j') := by
            rw [← FunctorToTypes.map_comp_apply, prod_comp, id_comp, assoc]
          _ = F.map ((𝟙 j', g j' ≫ gf (𝟙 j') ≫ i (𝟙 j')) : (j', k j') ⟶ (j', k'')) (y j') := by
            

Proof state:
J K : Type v
inst✝³ : SmallCategory J
inst✝² : SmallCategory K
F : J × K ⥤ Type v
inst✝¹ : IsFiltered K
inst✝ : FinCategory J
x : limit (curry.obj F ⋙ colim)
k : J → K
y : (j : J) → F.obj (j, k j)
e : ∀ (j : J), colimit.ι ((curry.obj F).obj j) (k j) (y j) = limit.π (curry.obj F ⋙ colim) j x
k' : K
g : (j : J) → k j ⟶ k'
kf : {j j' : J} → (j ⟶ j') → K
hf gf : {j j' : J} → (f : j ⟶ j') → k' ⟶ kf f
wf : ∀ {j j' : J} (f : j ⟶ j'), F.map (𝟙 j', g j' ≫ gf f) (y j') = F.map (f, g j ≫ hf f) (y j)
k'' : K
i : {j j' : J} → (f : j ⟶ j') → kf f ⟶ k''
s : ∀ {j₁ j₂ j₃ j₄ : J} (f : j₁ ⟶ j₂) (f' : j₃ ⟶ j₄), gf f ≫ i f = hf f' ≫ i f'
j j' : J
f : j ⟶ j'
⊢ F.map (𝟙 j', g j' ≫ gf f ≫ i f) (y j') = F.map (𝟙 j', g j' ≫ gf (𝟙 j') ≫ i (𝟙 j')) (y j')

Next tactic:
rw [s f (𝟙 j'), ← s (𝟙 j') (𝟙 j')]